Stata

Setup

We will need several Stata packages to draw a violin plot. We can use “ssc install [package_name]” to install them.

ssc install violinplot, replace     // module to draw violin plots
ssc install dstat, replace          // violinplot's dependency, module to compute summary statistics
ssc install moremata, replace       // violinplot's dependency, module (Mata) to provide various functions
ssc install palettes, replace       // violinplot's dependency, module to provide color palettes
ssc install colrspace, replace      // violinplot's dependency, module providing a class-based color management system in Mata

We will also set the pseudo-random number generator seed to 02138 to make the stochastic components of our simulations reproducible (this is similar to the process in R and Python).

clear all
set seed 02138

Data simulation step by step

To give an overview of the power simulation task, we will simulate data from a design with crossed random factors of subjects and songs (see Power of What? for design details), fit a model to the simulated data, recover from the model output the parameter values we put in, calculate power, and finally automate the whole process so that we can calculate power for different effect sizes.

Establish the simulation parameters

Before we start, let’s set some global parameters for our power simulations.

// number of simulation replications for power calculation
global reps = 30

// specified alpha for power calculation
global alpha = 0.05

Note: these are Stata global macros (referenced as $reps) rather than local ones. Each code block on this page runs as its own Stata session, and only globals, saved datasets, and programs carry over from one block to the next; in a single do-file, local macros would do the same job.

Establish the data-generating parameters

The first thing to do is to set up the parameters that govern the process we assume gave rise to the data - the data-generating process, or DGP. We previously decided upon the data-generating parameters (see Power of What?), so we just need to code them here.

ImportantThis chapter fits a simpler model than the R and Python chapters

The R and Python chapters fit the full crossed design: a by-song random intercept, a by-subject random intercept, a by-subject random slope, and the correlation between the two subject effects. This chapter drops three of those parameters — omega_0, tau_1 and rho — and fits a random-intercept model, mixed liking_ij genre_i || subj_id:.

The reason is runtime, not principle. Stata can express the crossed design, as mixed liking_ij genre_i || _all: R.song_id || subj_id: genre_i, cov(un), but fitting it thousands of times over a grid of parameter values takes days rather than minutes, which makes a power simulation of the kind this tutorial teaches impractical in Stata.

Two consequences worth being explicit about:

• The power estimates here are optimistic. Ignoring by-song variance and the random slope shrinks the standard error of beta_1, so power comes out higher than for the design the study actually has.
• They are not comparable with the R and Python chapters, which answer a different (and harder) question.

Read this chapter for the Stata mechanics — programs, return, matrices, looping a simulation — and take the R or Python chapter as the reference for the design itself.

// set all data-generating parameters
global beta_0 = 60   // intercept; i.e., the grand mean
global beta_1 = 5    // slope; i.e., effect of category
global tau_0 = 7     // by-subject random intercept sd
global sigma = 8     // residual (error) sd

Simulate the sampling process

Next, we will simulate the sampling process for the data. First, let’s define parameters related to the number of observations.

// Set number of subjects and songs
global n_subj = 25   // number of subjects
global n_pop = 15    // number of songs in pop category
global n_rock = 15   // number of songs in rock category
global n_all = $n_pop + $n_rock

Simulate the sampling of songs

We need to create a table listing each song \(i\), which category it is in (rock or pop).

// simulate a sample of songs
clear
set obs $n_all

// Generate a sequence of song ids
gen song_id = _n

// Generate the category variable
gen category = "pop"
replace category = "rock" if song_id > $n_pop

// Generate the genre variable
gen genre_i = 0
replace genre_i = 1 if song_id > $n_pop

list in 1/10
gen key = 1

save songs, replace

Number of observations (_N) was 0, now 30.



variable category was str3 now str4
(15 real changes made)


(15 real changes made)

     +------------------------------+
     | song_id   category   genre_i |
     |------------------------------|
  1. |       1        pop         0 |
  2. |       2        pop         0 |
  3. |       3        pop         0 |
  4. |       4        pop         0 |
  5. |       5        pop         0 |
     |------------------------------|
  6. |       6        pop         0 |
  7. |       7        pop         0 |
  8. |       8        pop         0 |
  9. |       9        pop         0 |
 10. |      10        pop         0 |
     +------------------------------+


file songs.dta saved

Simulate the sampling of subjects

Now we simulate the sampling of participants, which results in table listing each individual and their random effect (a random intercept). To do this, we must sample \(t_0\) from a normal distribution.

We will use the function rnormal, which generates a simulated value from a univariate normal distribution with a mean of 0 and a standard deviations of tau_0 of each variable.

// simulate a sample of subjects
clear
set obs $n_subj

// Generate the by-subject random intercept
gen t0 = rnormal(0, $tau_0)

// Generate a sequence of subject ids
gen subj_id = _n

list in 1 / 10
gen key = 1

save subjects, replace

Number of observations (_N) was 0, now 25.

     +---------------------+
     |        t0   subj_id |
     |---------------------|
  1. |  4.356949         1 |
  2. |  .0887434         2 |
  3. |  .1867903         3 |
  4. |  11.24607         4 |
  5. | -1.842066         5 |
     |---------------------|
  6. |  1.966723         6 |
  7. |  2.544997         7 |
  8. | -9.950144         8 |
  9. | -8.176116         9 |
 10. | -4.609569        10 |
     +---------------------+


file subjects.dta saved

Check the simulated values

Let’s do a quick sanity check by comparing our simulated values to the parameters we used as inputs. Because the sampling process is stochastic, we shouldn’t expect that these will exactly match for any given run of the simulation.

qui summarize t0
egen tau_0_s = sd(t0)
display "tau_0, " $tau_0 ", " tau_0_s

tau_0, 7, 7.4337502

Simulate trials

Since all subjects rate all songs (i.e., the design is fully crossed) we can set up a table of trials by including every possible combination of the rows in the subjects and songs tables. Each trial has random error associated with it, reflecting fluctuations in trial-by-trial ratings due to unknown factors. We simulate this by sampling values from a univariate normal distribution with a mean of 0 and a standard deviation of sigma.

// cross subject and song IDs; add an error term
use subjects, clear
cross using songs.dta
drop key
sort subj_id song_id

gen e_ij = rnormal(0, $sigma)

list in 1 / 10

     |       t0   subj_id   song_id   category   genre_i        e_ij |
     |---------------------------------------------------------------|
  1. | 4.356949         1         1        pop         0     7.08673 |
  2. | 4.356949         1         2        pop         0    -15.5205 |
  3. | 4.356949         1         3        pop         0    6.984706 |
  4. | 4.356949         1         4        pop         0    16.87559 |
  5. | 4.356949         1         5        pop         0   -2.192098 |
     |---------------------------------------------------------------|
  6. | 4.356949         1         6        pop         0    8.764422 |
  7. | 4.356949         1         7        pop         0   -10.27403 |
  8. | 4.356949         1         8        pop         0   -5.694414 |
  9. | 4.356949         1         9        pop         0    3.550642 |
 10. | 4.356949         1        10        pop         0    11.85906 |
     +---------------------------------------------------------------+

Calculate response values

With this resulting trials table, in combination with the constants beta_0 and beta_1, we have the full set of values that we need to compute the response variable liking_ij according the linear model we defined previously (see Power of What?).

gen liking_ij = $beta_0 + t0 +  $beta_1  * genre_i + e_ij
keep subj_id song_id category genre_i liking_ij

list in 1 / 10
save data_sim, replace

     | subj_id   song_id   category   genre_i   liking~j |
     |---------------------------------------------------|
  1. |       1         1        pop         0   71.44368 |
  2. |       1         2        pop         0   48.83645 |
  3. |       1         3        pop         0   71.34165 |
  4. |       1         4        pop         0   81.23254 |
  5. |       1         5        pop         0   62.16485 |
     |---------------------------------------------------|
  6. |       1         6        pop         0   73.12137 |
  7. |       1         7        pop         0   54.08292 |
  8. |       1         8        pop         0   58.66254 |
  9. |       1         9        pop         0   67.90759 |
 10. |       1        10        pop         0   76.21601 |
     +---------------------------------------------------+

file data_sim.dta saved

Plot the data

Let’s visualize the distribution of the response variable for each of the two song genres and superimpose the simulated parameter estimates for the means of these two groups.

use data_sim, clear

// Set the palette colors
local palette "orange dodgerblue"

// Create a violin plot for actual data
violinplot liking_ij, over(category) colors(`palette') vertical mean(type(line) lp(dash) stat(mean)) title("Predicted versus simulated values")
graph export "images/stata_violin.png", width(1600) replace

file /Users/sworthin/Library/CloudStorage/Dropbox/workspace/training/dss-powersim/images/stata_violin.png saved as PNG
    format

Analyze the simulated data

Now we can analyze our simulated data in a linear mixed effects model using the function mixed. The model formula in mixed maps onto how we calculated our liking_ij outcome variable above.

mixed liking_ij genre_i || subj_id:

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2670.5389  
Iteration 1:  Log likelihood = -2670.5389  

Computing standard errors ...

Mixed-effects ML regression                          Number of obs    =    750
Group variable: subj_id                              Number of groups =     25
                                                     Obs per group:
                                                                  min =     30
                                                                  avg =   30.0
                                                                  max =     30
                                                     Wald chi2(1)     = 106.36
Log likelihood = -2670.5389                          Prob > chi2      = 0.0000

------------------------------------------------------------------------------
   liking_ij | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
     genre_i |   6.072638   .5888334    10.31   0.000     4.918545     7.22673
       _cons |   59.72681   1.538746    38.82   0.000     56.71092    62.74269
------------------------------------------------------------------------------

------------------------------------------------------------------------------
  Random-effects parameters  |   Estimate   Std. err.     [95% conf. interval]
-----------------------------+------------------------------------------------
subj_id: Identity            |
                  var(_cons) |   54.85942   16.12991      30.83036    97.61662
-----------------------------+------------------------------------------------
               var(Residual) |   65.01089   3.414539      58.65146    72.05986
------------------------------------------------------------------------------
LR test vs. linear model: chibar2(01) = 377.14        Prob >= chibar2 = 0.0000

The terms in formula are as follows:

• liking_ij is the response.
• genre_i is the dummy coded variable identifying whether song \(i\) belongs to the pop or rock genre.
• || subj_id specified a subject-specific random intercept (t0)

Now we can estimate the model.

matrix b = e(b)
matrix list b

b[1,4]
     liking_ij:  liking_ij:   lns1_1_1:    lnsig_e:
       genre_i       _cons       _cons       _cons
y1   6.0726376   59.726807    2.002387   2.0872774

Data simulation automated

Now that we’ve tested the data generating code, we can put it into a program — Stata’s equivalent of a function — so that it’s easy to run it repeatedly.

capture program define sim_data
    args n_subj n_pop n_rock beta_0 beta_1 tau_0 sigma

  // simulate a sample of songs
    clear
    local n_all = `n_pop' + `n_rock'
    set obs `n_all'
    gen song_id = _n
    gen category = "pop"
    replace category = "rock" if song_id > `n_pop'
    gen genre_i = 0
    replace genre_i = 1 if song_id > `n_pop'
    gen key = 1
    save songs, replace

  // simulate a sample of subjects
    clear
    set obs `n_subj'

    gen t0 = rnormal(0, `tau_0')
    gen subj_id = _n
    gen key = 1
    save subjects, replace

  // cross subject and song IDs
    use subjects, clear
    cross using songs.dta
    drop key
    sort subj_id song_id
    gen e_ij = rnormal(0, `sigma')

    gen liking_ij = `beta_0' + t0 + `beta_1' * genre_i + e_ij
    keep subj_id song_id category genre_i liking_ij
end

Power calculation single run

We can wrap the data generating function and modeling code in a new function single_run() that returns the analysis results for a single simulation run. The noretable nofetable noheader nogroup options keep mixed from printing a full table for every one of the thousands of fits.

capture program define single_run, rclass
    args n_subj n_pop n_rock beta_0 beta_1 tau_0 sigma

    clear
    sim_data `n_subj' `n_pop' `n_rock' `beta_0' `beta_1' `tau_0' `sigma'
    mixed liking_ij genre_i || subj_id:, noretable nofetable noheader nogroup

  estimates clear
    estimates store model_results

  // calculate analysis results.
  // `e(b)` holds the coefficients and `e(V)` the variance-covariance matrix,
  // so the standard error of the first coefficient is the square root of
  // `e(V)[1,1]` -- not `e(V)[1,1]` itself, which is a variance. `mixed`
  // reports z tests, so the p-value for that one coefficient comes from the
  // normal distribution. (`e(p)` would give the p-value for the overall
  // model Wald test, which is a different quantity as soon as the model has
  // more than one fixed effect.)
    matrix coefficients = e(b)
    matrix V = e(V)

    scalar b1 = coefficients[1, 1]
    scalar se1 = sqrt(V[1, 1])

    return scalar coef = b1
    return scalar std_err = se1
    return scalar p_value = 2 * normal(-abs(b1 / se1))
end

Let’s test that our new single_run() function performs as expected.

// run one model with default parameters
single_run 25 15 15 60 5 7 8
return list

Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2685.8978  
Iteration 1:  Log likelihood = -2685.8978  

Computing standard errors ...


scalars:
            r(p_value) =  4.72641356735e-25
            r(std_err) =  .5985781770559117
               r(coef) =  6.188306213378898

// run one model with new parameters
single_run 25 10 50 60 2 7 8
return list

Number of observations (_N) was 0, now 60.
variable category was str3 now str4
(50 real changes made)
(50 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -5264.7642  
Iteration 1:  Log likelihood = -5264.7642  

Computing standard errors ...


scalars:
            r(p_value) =  .0000102758196073
            r(std_err) =  .5442572149474949
               r(coef) =  2.400874560546836

Power calculation automated

To get an accurate estimation of power, we need to run the simulation many times. Here we use a matrix results to store the analysis results of each run.

We can finally calculate power for our parameter of interest beta_1 by filtering to keep only that term and the calculating the proportion of times the \(p\)-value is below the alpha threshold.

clear
matrix results = J($reps, 3, .)
forval i = 1/$reps {
    single_run 25 15 15 60 5 7 8
    matrix results[`i', 1] = r(coef)
  matrix results[`i', 2] = r(std_err)
  matrix results[`i', 3] = r(p_value)
}

clear
svmat results, names(x)

// calculate mean estimates and power for specified alpha
gen power = 0
replace power = 1 if x3 < $alpha

egen coef_mean = mean(x1)
egen std_err_mean = mean(x2)
egen power_mean = mean(power)

di "Coef. Mean: " coef_mean
di "Std.Err. Mean: " std_err_mean
di "Power Mean: " power_mean

Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2657.2572  
Iteration 1:  Log likelihood = -2657.2572  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2696.5439  
Iteration 1:  Log likelihood = -2696.5439  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2653.9155  
Iteration 1:  Log likelihood = -2653.9155  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2665.3554  
Iteration 1:  Log likelihood = -2665.3554  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2701.0752  
Iteration 1:  Log likelihood = -2701.0752  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2664.172  
Iteration 1:  Log likelihood =  -2664.172  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2685.481  
Iteration 1:  Log likelihood =  -2685.481  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2648.4695  
Iteration 1:  Log likelihood = -2648.4695  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2670.1256  
Iteration 1:  Log likelihood = -2670.1256  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2660.2422  
Iteration 1:  Log likelihood = -2660.2422  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2678.5039  
Iteration 1:  Log likelihood = -2678.5039  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2646.4756  
Iteration 1:  Log likelihood = -2646.4756  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2642.9618  
Iteration 1:  Log likelihood = -2642.9618  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2689.403  
Iteration 1:  Log likelihood =  -2689.403  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2670.7511  
Iteration 1:  Log likelihood = -2670.7511  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2622.6729  
Iteration 1:  Log likelihood = -2622.6729  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2683.4847  
Iteration 1:  Log likelihood = -2683.4847  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2640.3714  
Iteration 1:  Log likelihood = -2640.3714  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2667.1193  
Iteration 1:  Log likelihood = -2667.1193  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2667.4194  
Iteration 1:  Log likelihood = -2667.4194  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2674.2198  
Iteration 1:  Log likelihood = -2674.2198  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2642.338  
Iteration 1:  Log likelihood =  -2642.338  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2655.4778  
Iteration 1:  Log likelihood = -2655.4778  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2679.2377  
Iteration 1:  Log likelihood = -2679.2377  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2639.6719  
Iteration 1:  Log likelihood = -2639.6719  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2677.7853  
Iteration 1:  Log likelihood = -2677.7853  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2663.987  
Iteration 1:  Log likelihood =  -2663.987  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2663.4107  
Iteration 1:  Log likelihood = -2663.4107  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2643.8597  
Iteration 1:  Log likelihood = -2643.8597  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2658.2131  
Iteration 1:  Log likelihood = -2658.2131  

Computing standard errors ...


number of observations will be reset to 30
Press any key to continue, or Break to abort
Number of observations (_N) was 0, now 30.


(30 real changes made)




Coef. Mean: 4.8985529

Std.Err. Mean: .58440232

Power Mean: 1

Check false positive rate

We can do a sanity check to see if our simulation is performing as expected by checking the false positive rate (Type I error rate). We set the effect of genre_i (beta_1) to 0 to calculate the false positive rate, which is the probability of concluding there is an effect when there is no actual effect in the population.

// run simulations and calculate the false positive rate
clear
matrix results = J($reps, 3, .)
forval i = 1/$reps {
    single_run 25 15 15 60 0 7 8
    matrix results[`i', 1] = r(coef)
  matrix results[`i', 2] = r(std_err)
  matrix results[`i', 3] = r(p_value)
}

clear
svmat results, names(x)

// calculate power for specified alpha
gen power = 0
replace power = 1 if x3 < $alpha

egen power_mean = mean(power)

di "Power Mean: " power_mean

Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2674.0699  
Iteration 1:  Log likelihood = -2674.0699  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2641.4787  
Iteration 1:  Log likelihood = -2641.4787  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2657.4057  
Iteration 1:  Log likelihood = -2657.4057  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2659.2965  
Iteration 1:  Log likelihood = -2659.2965  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2690.111  
Iteration 1:  Log likelihood =  -2690.111  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2669.461  
Iteration 1:  Log likelihood =  -2669.461  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2652.3292  
Iteration 1:  Log likelihood = -2652.3292  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2631.8421  
Iteration 1:  Log likelihood = -2631.8421  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2673.6726  
Iteration 1:  Log likelihood = -2673.6726  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2659.8214  
Iteration 1:  Log likelihood = -2659.8214  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2650.4935  
Iteration 1:  Log likelihood = -2650.4935  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2692.1276  
Iteration 1:  Log likelihood = -2692.1276  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2661.1214  
Iteration 1:  Log likelihood = -2661.1214  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2674.2244  
Iteration 1:  Log likelihood = -2674.2244  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2644.8888  
Iteration 1:  Log likelihood = -2644.8888  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2706.0998  
Iteration 1:  Log likelihood = -2706.0998  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2665.8184  
Iteration 1:  Log likelihood = -2665.8184  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2680.9773  
Iteration 1:  Log likelihood = -2680.9773  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2660.4843  
Iteration 1:  Log likelihood = -2660.4843  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2629.5578  
Iteration 1:  Log likelihood = -2629.5578  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2657.7977  
Iteration 1:  Log likelihood = -2657.7977  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2652.4536  
Iteration 1:  Log likelihood = -2652.4536  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2647.3922  
Iteration 1:  Log likelihood = -2647.3922  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2664.5309  
Iteration 1:  Log likelihood = -2664.5309  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2702.3367  
Iteration 1:  Log likelihood = -2702.3367  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2680.1385  
Iteration 1:  Log likelihood = -2680.1385  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2632.0523  
Iteration 1:  Log likelihood = -2632.0523  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -2658.61  
Iteration 1:  Log likelihood =   -2658.61  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2650.049  
Iteration 1:  Log likelihood =  -2650.049  

Computing standard errors ...
Number of observations (_N) was 0, now 30.
variable category was str3 now str4
(15 real changes made)
(15 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2653.7035  
Iteration 1:  Log likelihood = -2653.7035  

Computing standard errors ...


number of observations will be reset to 30
Press any key to continue, or Break to abort
Number of observations (_N) was 0, now 30.


(0 real changes made)


Power Mean: 0

Ideally, the false positive rate will be equal to alpha, which we set at 0.05.

Power for different effect sizes

In real life, we will not know the effect size of our quantity of interest and so we will need to repeatedly perform the power analysis over a range of different plausible effect sizes. Perhaps we might also want to calculate power as we vary other data-generating parameters, such as the number of pop and rock songs sampled and the number of subjects sampled. We can create a table that combines all combinations of the parameters we want to vary in a grid.

// grid of parameter values of interest
matrix define params = (10, 10, 10, 1 \ 10, 10, 10, 2 \ 10, 10, 10, 3 \ 10, 10, 10, 4 \ 10, 10, 10, 5 ///
\ 10, 10, 40, 1 \ 10, 10, 40, 2 \ 10, 10, 40, 3 \ 10, 10, 40, 4 \ 10, 10, 40, 5 ///
\ 10, 40, 10, 1 \ 10, 40, 10, 2 \ 10, 40, 10, 3 \ 10, 40, 10, 4 \ 10, 40, 10, 5 ///
\ 10, 40, 40, 1 \ 10, 40, 40, 2 \ 10, 40, 40, 3 \ 10, 40, 40, 4 \ 10, 40, 40, 5 ///
\ 25, 10, 10, 1 \ 25, 10, 10, 2 \ 25, 10, 10, 3 \ 25, 10, 10, 4 \ 25, 10, 10, 5 ///
\ 25, 10, 40, 1 \ 25, 10, 40, 2 \ 25, 10, 40, 3 \ 25, 10, 40, 4 \ 25, 10, 40, 5 ///
\ 25, 40, 10, 1 \ 25, 40, 10, 2 \ 25, 40, 10, 3 \ 25, 40, 10, 4 \ 25, 40, 10, 5 ///
\ 25, 40, 40, 1 \ 25, 40, 40, 2 \ 25, 40, 40, 3 \ 25, 40, 40, 4 \ 25, 40, 40, 5 ///
\ 50, 10, 10, 1 \ 50, 10, 10, 2 \ 50, 10, 10, 3 \ 50, 10, 10, 4 \ 50, 10, 10, 5 ///
\ 50, 10, 40, 1 \ 50, 10, 40, 2 \ 50, 10, 40, 3 \ 50, 10, 40, 4 \ 50, 10, 40, 5 ///
\ 50, 40, 10, 1 \ 50, 40, 10, 2 \ 50, 40, 10, 3 \ 50, 40, 10, 4 \ 50, 40, 10, 5 ///
\ 50, 40, 40, 1 \ 50, 40, 40, 2 \ 50, 40, 40, 3 \ 50, 40, 40, 4 \ 50, 40, 40, 5)

We can now wrap our single_run() function within a more general function parameter_search() that takes the grid of parameter values as input and uses a matrix results to store analysis results of each single_run().

capture program define parameter_search, rclass
    args params

    local rows = rowsof(params)
    matrix results = J(`rows', 7, .)

    forval i = 1/`rows' {
        local n_subj = params[`i', 1]
        local n_pop = params[`i', 2]
        local n_rock = params[`i', 3]
        local beta_1 = params[`i', 4]

        single_run `n_subj' `n_pop' `n_rock' 60 `beta_1' 7 8
        matrix results[`i', 1] = `n_subj'
        matrix results[`i', 2] = `n_pop'
        matrix results[`i', 3] = `n_rock'
        matrix results[`i', 4] = `beta_1'
        matrix results[`i', 5] = r(coef)
        matrix results[`i', 6] = r(std_err)
        matrix results[`i', 7] = r(p_value)
    }

    return matrix RE results
end

connection timed out
could not copy http://fmwww.bc.edu/repec/bocode/m/mf_mm_cond.hlp
(no action taken)
r(2);

If we call parameter_search() it will return a single replication of simulations for each combination of parameter values in params.

parameter_search params
return list
matrix list r(RE)

Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -712.50556  
Iteration 1:  Log likelihood = -712.50556  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -704.47457  
Iteration 1:  Log likelihood = -704.47457  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -719.05801  
Iteration 1:  Log likelihood = -719.05801  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -706.72299  
Iteration 1:  Log likelihood = -706.72299  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -709.45264  
Iteration 1:  Log likelihood = -709.45264  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.6852  
Iteration 1:  Log likelihood = -1770.6852  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1753.7855  
Iteration 1:  Log likelihood = -1753.7855  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.9321  
Iteration 1:  Log likelihood = -1760.9321  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.7761  
Iteration 1:  Log likelihood = -1771.7761  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1765.5166  
Iteration 1:  Log likelihood = -1765.5166  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1758.7245  
Iteration 1:  Log likelihood = -1758.7245  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.0762  
Iteration 1:  Log likelihood = -1784.0762  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.4321  
Iteration 1:  Log likelihood = -1784.4321  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.9224  
Iteration 1:  Log likelihood = -1766.9224  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1743.5541  
Iteration 1:  Log likelihood = -1743.5541  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2788.5881  
Iteration 1:  Log likelihood = -2788.5881  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2811.4722  
Iteration 1:  Log likelihood = -2811.4722  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2831.4673  
Iteration 1:  Log likelihood = -2831.4673  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2804.915  
Iteration 1:  Log likelihood =  -2804.915  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2855.0535  
Iteration 1:  Log likelihood = -2855.0535  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.5029  
Iteration 1:  Log likelihood = -1767.5029  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.5075  
Iteration 1:  Log likelihood = -1768.5075  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1775.2324  
Iteration 1:  Log likelihood = -1775.2324  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.1496  
Iteration 1:  Log likelihood = -1784.1496  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.0801  
Iteration 1:  Log likelihood = -1774.0801  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4405.8288  
Iteration 1:  Log likelihood = -4405.8288  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4442.5512  
Iteration 1:  Log likelihood = -4442.5512  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4436.8857  
Iteration 1:  Log likelihood = -4436.8857  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4451.9834  
Iteration 1:  Log likelihood = -4451.9834  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4427.9851  
Iteration 1:  Log likelihood = -4427.9851  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4476.2123  
Iteration 1:  Log likelihood = -4476.2123  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4424.9375  
Iteration 1:  Log likelihood = -4424.9375  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4438.2643  
Iteration 1:  Log likelihood = -4438.2643  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4389.0446  
Iteration 1:  Log likelihood = -4389.0446  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4461.7836  
Iteration 1:  Log likelihood = -4461.7836  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -6951.112  
Iteration 1:  Log likelihood =  -6951.112  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7074.3288  
Iteration 1:  Log likelihood = -7074.3288  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7083.9234  
Iteration 1:  Log likelihood = -7083.9234  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7066.8485  
Iteration 1:  Log likelihood = -7066.8485  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7048.7384  
Iteration 1:  Log likelihood = -7048.7384  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3532.7794  
Iteration 1:  Log likelihood = -3532.7794  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3570.5743  
Iteration 1:  Log likelihood = -3570.5743  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3575.0024  
Iteration 1:  Log likelihood = -3575.0024  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3579.0934  
Iteration 1:  Log likelihood = -3579.0934  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3543.076  
Iteration 1:  Log likelihood =  -3543.076  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8890.0087  
Iteration 1:  Log likelihood = -8890.0087  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8821.9895  
Iteration 1:  Log likelihood = -8821.9895  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8797.7067  
Iteration 1:  Log likelihood = -8797.7067  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8884.6381  
Iteration 1:  Log likelihood = -8884.6381  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8872.3625  
Iteration 1:  Log likelihood = -8872.3625  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8801.4262  
Iteration 1:  Log likelihood = -8801.4262  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8860.3393  
Iteration 1:  Log likelihood = -8860.3393  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8908.6705  
Iteration 1:  Log likelihood = -8908.6705  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8830.9603  
Iteration 1:  Log likelihood = -8830.9603  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8791.6865  
Iteration 1:  Log likelihood = -8791.6865  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14200.882  
Iteration 1:  Log likelihood = -14200.882  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14131.002  
Iteration 1:  Log likelihood = -14131.002  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14101.225  
Iteration 1:  Log likelihood = -14101.225  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14139.297  
Iteration 1:  Log likelihood = -14139.297  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14089.697  
Iteration 1:  Log likelihood = -14089.697  

Computing standard errors ...


matrices:
                 r(RE) :  60 x 7


r(RE)[60,7]
             c1          c2          c3          c4          c5          c6          c7
 r1          10          10          10           1   1.6232882   1.1158218   .14572695
 r2          10          10          10           2   2.0062973   1.0905972   .06582231
 r3          10          10          10           3   3.4475682   1.1885287   .00372327
 r4          10          10          10           4    4.392934   1.0808553   .00004817
 r5          10          10          10           5   2.9197601    1.119484   .00910383
 r6          10          10          40           1   .72868919   .90381885   .42010813
 r7          10          10          40           2    2.064945   .87732725   .01858875
 r8          10          10          40           3   3.4548373   .87889482   .00008463
 r9          10          10          40           4   4.0100965    .8970772   7.815e-06
r10          10          10          40           5   4.4327375   .88513317   5.500e-07
r11          10          40          10           1   .27104625   .88181806   .75856018
r12          10          40          10           2   1.3236057   .92000673     .150238
r13          10          40          10           3    3.637113   .93378246   .00009819
r14          10          40          10           4    4.160315   .89436915   3.292e-06
r15          10          40          10           5    5.580889   .85211799   5.776e-11
r16          10          40          40           1   .52009808   .54356994   .33865859
r17          10          40          40           2   1.4540983     .561221     .009571
r18          10          40          40           3   2.3241734   .57440286   .00005205
r19          10          40          40           4    2.576086    .5530836   3.198e-06
r20          10          40          40           5   4.4130311   .59235635   9.337e-14
r21          25          10          10           1  -.00893333   .69789469   .98978703
r22          25          10          10           2   .30779735   .69468105   .65770988
r23          25          10          10           3   2.9344834   .71407267   .00003965
r24          25          10          10           4   4.1778176   .72764127   9.379e-09
r25          25          10          10           5   5.9155021   .70524187   4.949e-17
r26          25          10          40           1   1.2316509     .559891   .02782074
r27          25          10          40           2   1.7095442   .57708922   .00305294
r28          25          10          40           3   2.2368743   .57467342   .00009925
r29          25          10          40           4   5.0258179   .58143808   5.439e-18
r30          25          10          40           5   4.2731111   .56820444   5.462e-14
r31          25          40          10           1   1.0390381   .59195054   .07921167
r32          25          40          10           2   1.6820734   .56951845   .00314191
r33          25          40          10           3   2.8046594   .57424622   1.039e-06
r34          25          40          10           4   4.5576676   .55108343   1.335e-16
r35          25          40          10           5   5.0608711   .58455764   4.818e-18
r36          25          40          40           1   .33545354   .34086215   .32505034
r37          25          40          40           2   2.2642519   .36196059   3.962e-10
r38          25          40          40           3   3.4540547   .36462201   2.720e-21
r39          25          40          40           4   4.4082392   .36048809   2.189e-34
r40          25          40          40           5   4.7617614   .35801254   2.298e-40
r41          50          10          10           1   1.3775731   .49021271   .00495178
r42          50          10          10           2   2.0671036   .50475948   .00004218
r43          50          10          10           3    3.837408   .51398335   8.266e-14
r44          50          10          10           4   4.0094784   .50794888   2.939e-15
r45          50          10          10           5   4.5509756   .49389248   3.127e-20
r46          50          10          40           1   .54634245   .40796215   .18050594
r47          50          10          40           2   1.8403869   .39968512   4.133e-06
r48          50          10          40           3   2.8412234   .39322423   4.994e-13
r49          50          10          40           4   3.6821123   .40684345   1.424e-19
r50          50          10          40           5   4.7523879   .40671954   1.527e-31
r51          50          40          10           1   .66228735   .39351667   .09237569
r52          50          40          10           2   2.3323298   .40459205   8.183e-09
r53          50          40          10           3   2.8560804   .41163277   3.965e-12
r54          50          40          10           4    3.708818   .39909868   1.500e-20
r55          50          40          10           5   4.3577439   .39234172   1.160e-28
r56          50          40          40           1   .81108118   .25963249   .00178436
r57          50          40          40           2   1.9790338   .25544931   9.389e-15
r58          50          40          40           3   2.6718788   .25350213   5.658e-26
r59          50          40          40           4   4.0181741   .25572301   1.232e-55
r60          50          40          40           5   4.7752599   .25301401   1.884e-79

Then we just repeatedly call parameter_search() for the number of times specified by reps and store the result in a matrix final_results. Fair warning, this will take some time if you have set a high number of replications!

// replicate the parameter search many times
clear
matrix final_results = J(1, 7, .)
forval i = 1/$reps {
  parameter_search params

    matrix final_results = final_results \ r(RE)
}

// rename the columns
clear
svmat final_results, names(final_results)
rename final_results1 n_subj
rename final_results2 n_pop
rename final_results3 n_rock
rename final_results4 beta_1
rename final_results5 mean_estimate
rename final_results6 mean_se
rename final_results7 p_value
drop in 1

Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -705.33253  
Iteration 1:  Log likelihood = -705.33253  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -696.60848  
Iteration 1:  Log likelihood = -696.60848  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -700.71855  
Iteration 1:  Log likelihood = -700.71855  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -709.53704  
Iteration 1:  Log likelihood = -709.53704  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -720.30607  
Iteration 1:  Log likelihood = -720.30607  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1788.5881  
Iteration 1:  Log likelihood = -1788.5881  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.3984  
Iteration 1:  Log likelihood = -1773.3984  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.5784  
Iteration 1:  Log likelihood = -1762.5784  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1769.537  
Iteration 1:  Log likelihood =  -1769.537  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.9386  
Iteration 1:  Log likelihood = -1762.9386  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1755.3096  
Iteration 1:  Log likelihood = -1755.3096  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1735.7987  
Iteration 1:  Log likelihood = -1735.7987  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1742.8695  
Iteration 1:  Log likelihood = -1742.8695  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1737.8826  
Iteration 1:  Log likelihood = -1737.8826  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1738.6676  
Iteration 1:  Log likelihood = -1738.6676  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2812.0911  
Iteration 1:  Log likelihood = -2812.0911  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2808.6512  
Iteration 1:  Log likelihood = -2808.6512  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2820.5799  
Iteration 1:  Log likelihood = -2820.5799  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2814.571  
Iteration 1:  Log likelihood =  -2814.571  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2808.7042  
Iteration 1:  Log likelihood = -2808.7042  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.0186  
Iteration 1:  Log likelihood = -1784.0186  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1755.7512  
Iteration 1:  Log likelihood = -1755.7512  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.4086  
Iteration 1:  Log likelihood = -1784.4086  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -1772.99  
Iteration 1:  Log likelihood =   -1772.99  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.3073  
Iteration 1:  Log likelihood = -1768.3073  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4434.8434  
Iteration 1:  Log likelihood = -4434.8434  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4460.1396  
Iteration 1:  Log likelihood = -4460.1396  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4409.658  
Iteration 1:  Log likelihood =  -4409.658  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4429.3802  
Iteration 1:  Log likelihood = -4429.3802  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4451.2709  
Iteration 1:  Log likelihood = -4451.2709  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4405.405  
Iteration 1:  Log likelihood =  -4405.405  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4395.1252  
Iteration 1:  Log likelihood = -4395.1252  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4426.4276  
Iteration 1:  Log likelihood = -4426.4276  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4423.0885  
Iteration 1:  Log likelihood = -4423.0885  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4385.3686  
Iteration 1:  Log likelihood = -4385.3686  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7045.0652  
Iteration 1:  Log likelihood = -7045.0652  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7050.0017  
Iteration 1:  Log likelihood = -7050.0017  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7043.1739  
Iteration 1:  Log likelihood = -7043.1739  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7030.1345  
Iteration 1:  Log likelihood = -7030.1345  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7018.7077  
Iteration 1:  Log likelihood = -7018.7077  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3545.0986  
Iteration 1:  Log likelihood = -3545.0986  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3563.0903  
Iteration 1:  Log likelihood = -3563.0903  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3558.1425  
Iteration 1:  Log likelihood = -3558.1425  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3557.4736  
Iteration 1:  Log likelihood = -3557.4736  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3563.7346  
Iteration 1:  Log likelihood = -3563.7346  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8833.8761  
Iteration 1:  Log likelihood = -8833.8761  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8770.1423  
Iteration 1:  Log likelihood = -8770.1423  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8772.1346  
Iteration 1:  Log likelihood = -8772.1346  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8833.6375  
Iteration 1:  Log likelihood = -8833.6375  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8813.6887  
Iteration 1:  Log likelihood = -8813.6887  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8838.7785  
Iteration 1:  Log likelihood = -8838.7785  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8850.1792  
Iteration 1:  Log likelihood = -8850.1792  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8830.0625  
Iteration 1:  Log likelihood = -8830.0625  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8873.8265  
Iteration 1:  Log likelihood = -8873.8265  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8836.6539  
Iteration 1:  Log likelihood = -8836.6539  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14134.956  
Iteration 1:  Log likelihood = -14134.956  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14134.561  
Iteration 1:  Log likelihood = -14134.561  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14089.792  
Iteration 1:  Log likelihood = -14089.792  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14089.966  
Iteration 1:  Log likelihood = -14089.966  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14157.811  
Iteration 1:  Log likelihood = -14157.811  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -705.78893  
Iteration 1:  Log likelihood = -705.78893  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -686.15175  
Iteration 1:  Log likelihood = -686.15175  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -710.56015  
Iteration 1:  Log likelihood = -710.56015  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -713.7705  
Iteration 1:  Log likelihood =  -713.7705  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -718.08187  
Iteration 1:  Log likelihood = -718.08187  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1753.1087  
Iteration 1:  Log likelihood = -1753.1087  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.2483  
Iteration 1:  Log likelihood = -1784.2483  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.1196  
Iteration 1:  Log likelihood = -1772.1196  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1742.8234  
Iteration 1:  Log likelihood = -1742.8234  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1747.7404  
Iteration 1:  Log likelihood = -1747.7404  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.5001  
Iteration 1:  Log likelihood = -1761.5001  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.2219  
Iteration 1:  Log likelihood = -1766.2219  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1742.4975  
Iteration 1:  Log likelihood = -1742.4975  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.2243  
Iteration 1:  Log likelihood = -1767.2243  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1746.4515  
Iteration 1:  Log likelihood = -1746.4515  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2815.942  
Iteration 1:  Log likelihood =  -2815.942  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2788.8448  
Iteration 1:  Log likelihood = -2788.8448  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2814.2875  
Iteration 1:  Log likelihood = -2814.2875  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2803.0965  
Iteration 1:  Log likelihood = -2803.0965  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2796.5869  
Iteration 1:  Log likelihood = -2796.5869  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.4707  
Iteration 1:  Log likelihood = -1773.4707  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1740.0097  
Iteration 1:  Log likelihood = -1740.0097  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.7295  
Iteration 1:  Log likelihood = -1768.7295  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.2808  
Iteration 1:  Log likelihood = -1784.2808  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.5573  
Iteration 1:  Log likelihood = -1773.5573  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4433.6856  
Iteration 1:  Log likelihood = -4433.6856  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4443.7772  
Iteration 1:  Log likelihood = -4443.7772  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4430.2886  
Iteration 1:  Log likelihood = -4430.2886  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4384.8282  
Iteration 1:  Log likelihood = -4384.8282  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4423.5967  
Iteration 1:  Log likelihood = -4423.5967  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4375.6659  
Iteration 1:  Log likelihood = -4375.6659  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4403.2176  
Iteration 1:  Log likelihood = -4403.2176  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4357.1858  
Iteration 1:  Log likelihood = -4357.1858  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4384.5845  
Iteration 1:  Log likelihood = -4384.5845  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4380.8384  
Iteration 1:  Log likelihood = -4380.8384  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7048.8162  
Iteration 1:  Log likelihood = -7048.8162  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7084.2172  
Iteration 1:  Log likelihood = -7084.2172  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7065.9939  
Iteration 1:  Log likelihood = -7065.9939  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7012.6878  
Iteration 1:  Log likelihood = -7012.6878  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7067.1935  
Iteration 1:  Log likelihood = -7067.1935  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3557.1687  
Iteration 1:  Log likelihood = -3557.1687  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3574.1536  
Iteration 1:  Log likelihood = -3574.1536  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3582.6576  
Iteration 1:  Log likelihood = -3582.6576  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3575.7461  
Iteration 1:  Log likelihood = -3575.7461  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3576.9925  
Iteration 1:  Log likelihood = -3576.9925  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8793.8442  
Iteration 1:  Log likelihood = -8793.8442  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8824.3488  
Iteration 1:  Log likelihood = -8824.3488  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8788.9701  
Iteration 1:  Log likelihood = -8788.9701  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8828.5639  
Iteration 1:  Log likelihood = -8828.5639  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8864.8445  
Iteration 1:  Log likelihood = -8864.8445  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8777.5174  
Iteration 1:  Log likelihood = -8777.5174  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8782.6678  
Iteration 1:  Log likelihood = -8782.6678  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8828.8775  
Iteration 1:  Log likelihood = -8828.8775  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8853.3494  
Iteration 1:  Log likelihood = -8853.3494  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8813.8605  
Iteration 1:  Log likelihood = -8813.8605  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14130.46  
Iteration 1:  Log likelihood =  -14130.46  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14110.158  
Iteration 1:  Log likelihood = -14110.158  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14097.167  
Iteration 1:  Log likelihood = -14097.167  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14023.541  
Iteration 1:  Log likelihood = -14023.541  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14118.493  
Iteration 1:  Log likelihood = -14118.493  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -712.70735  
Iteration 1:  Log likelihood = -712.70735  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -695.28887  
Iteration 1:  Log likelihood = -695.28887  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -697.88022  
Iteration 1:  Log likelihood = -697.88022  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -718.43632  
Iteration 1:  Log likelihood = -718.43632  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -707.67694  
Iteration 1:  Log likelihood = -707.67694  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.4535  
Iteration 1:  Log likelihood = -1752.4535  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.5968  
Iteration 1:  Log likelihood = -1781.5968  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.1701  
Iteration 1:  Log likelihood = -1766.1701  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.3756  
Iteration 1:  Log likelihood = -1770.3756  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.8022  
Iteration 1:  Log likelihood = -1783.8022  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.7456  
Iteration 1:  Log likelihood = -1780.7456  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1765.751  
Iteration 1:  Log likelihood =  -1765.751  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.8425  
Iteration 1:  Log likelihood = -1766.8425  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.3627  
Iteration 1:  Log likelihood = -1771.3627  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1746.5892  
Iteration 1:  Log likelihood = -1746.5892  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2798.0568  
Iteration 1:  Log likelihood = -2798.0568  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2804.7809  
Iteration 1:  Log likelihood = -2804.7809  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2777.8075  
Iteration 1:  Log likelihood = -2777.8075  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2800.8385  
Iteration 1:  Log likelihood = -2800.8385  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2835.7623  
Iteration 1:  Log likelihood = -2835.7623  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1794.9309  
Iteration 1:  Log likelihood = -1794.9309  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.7389  
Iteration 1:  Log likelihood = -1787.7389  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.9457  
Iteration 1:  Log likelihood = -1774.9457  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.8862  
Iteration 1:  Log likelihood = -1773.8862  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.2466  
Iteration 1:  Log likelihood = -1787.2466  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4390.3042  
Iteration 1:  Log likelihood = -4390.3042  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4404.3975  
Iteration 1:  Log likelihood = -4404.3975  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4451.8188  
Iteration 1:  Log likelihood = -4451.8188  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4378.3128  
Iteration 1:  Log likelihood = -4378.3128  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4398.1132  
Iteration 1:  Log likelihood = -4398.1132  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4385.2339  
Iteration 1:  Log likelihood = -4385.2339  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4384.0929  
Iteration 1:  Log likelihood = -4384.0929  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4385.1223  
Iteration 1:  Log likelihood = -4385.1223  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4444.1702  
Iteration 1:  Log likelihood = -4444.1702  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4472.0022  
Iteration 1:  Log likelihood = -4472.0022  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7093.1457  
Iteration 1:  Log likelihood = -7093.1457  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7044.3585  
Iteration 1:  Log likelihood = -7044.3585  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7011.9095  
Iteration 1:  Log likelihood = -7011.9095  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7104.799  
Iteration 1:  Log likelihood =  -7104.799  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7053.4141  
Iteration 1:  Log likelihood = -7053.4141  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3577.8663  
Iteration 1:  Log likelihood = -3577.8663  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3566.1485  
Iteration 1:  Log likelihood = -3566.1485  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3536.5237  
Iteration 1:  Log likelihood = -3536.5237  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3544.434  
Iteration 1:  Log likelihood =  -3544.434  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3561.6333  
Iteration 1:  Log likelihood = -3561.6333  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8868.5538  
Iteration 1:  Log likelihood = -8868.5538  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8824.9535  
Iteration 1:  Log likelihood = -8824.9535  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8924.4453  
Iteration 1:  Log likelihood = -8924.4453  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8836.7338  
Iteration 1:  Log likelihood = -8836.7338  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8845.9972  
Iteration 1:  Log likelihood = -8845.9972  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8860.997  
Iteration 1:  Log likelihood =  -8860.997  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8909.9014  
Iteration 1:  Log likelihood = -8909.9014  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8801.6523  
Iteration 1:  Log likelihood = -8801.6523  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8780.6028  
Iteration 1:  Log likelihood = -8780.6028  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8808.091  
Iteration 1:  Log likelihood =  -8808.091  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14171.61  
Iteration 1:  Log likelihood =  -14171.61  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14087.465  
Iteration 1:  Log likelihood = -14087.465  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14110.416  
Iteration 1:  Log likelihood = -14110.416  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14148.244  
Iteration 1:  Log likelihood = -14148.244  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14152.57  
Iteration 1:  Log likelihood =  -14152.57  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -708.34715  
Iteration 1:  Log likelihood = -708.34715  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -703.2542  
Iteration 1:  Log likelihood =  -703.2542  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -706.44724  
Iteration 1:  Log likelihood = -706.44724  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -697.64524  
Iteration 1:  Log likelihood = -697.64524  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -710.57113  
Iteration 1:  Log likelihood = -710.57113  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.3125  
Iteration 1:  Log likelihood = -1781.3125  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1749.5137  
Iteration 1:  Log likelihood = -1749.5137  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1745.226  
Iteration 1:  Log likelihood =  -1745.226  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.1782  
Iteration 1:  Log likelihood = -1766.1782  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1752.608  
Iteration 1:  Log likelihood =  -1752.608  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.0139  
Iteration 1:  Log likelihood = -1779.0139  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.8113  
Iteration 1:  Log likelihood = -1761.8113  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1759.2312  
Iteration 1:  Log likelihood = -1759.2312  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.5471  
Iteration 1:  Log likelihood = -1783.5471  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.6459  
Iteration 1:  Log likelihood = -1773.6459  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2768.2696  
Iteration 1:  Log likelihood = -2768.2696  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2828.8111  
Iteration 1:  Log likelihood = -2828.8111  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2804.6724  
Iteration 1:  Log likelihood = -2804.6724  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2802.0623  
Iteration 1:  Log likelihood = -2802.0623  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2824.0333  
Iteration 1:  Log likelihood = -2824.0333  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1798.552  
Iteration 1:  Log likelihood =  -1798.552  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1785.6006  
Iteration 1:  Log likelihood = -1785.6006  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1802.6734  
Iteration 1:  Log likelihood = -1802.6734  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1790.0286  
Iteration 1:  Log likelihood = -1790.0286  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1795.9065  
Iteration 1:  Log likelihood = -1795.9065  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4412.6882  
Iteration 1:  Log likelihood = -4412.6882  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4397.063  
Iteration 1:  Log likelihood =  -4397.063  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4448.0431  
Iteration 1:  Log likelihood = -4448.0431  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4355.5699  
Iteration 1:  Log likelihood = -4355.5699  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4398.037  
Iteration 1:  Log likelihood =  -4398.037  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4447.944  
Iteration 1:  Log likelihood =  -4447.944  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4464.4417  
Iteration 1:  Log likelihood = -4464.4417  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4416.5271  
Iteration 1:  Log likelihood = -4416.5271  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4411.2376  
Iteration 1:  Log likelihood = -4411.2376  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4408.8025  
Iteration 1:  Log likelihood = -4408.8025  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7109.1125  
Iteration 1:  Log likelihood = -7109.1125  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7067.5227  
Iteration 1:  Log likelihood = -7067.5227  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7045.4555  
Iteration 1:  Log likelihood = -7045.4555  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7028.5405  
Iteration 1:  Log likelihood = -7028.5405  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7018.2138  
Iteration 1:  Log likelihood = -7018.2138  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3545.2534  
Iteration 1:  Log likelihood = -3545.2534  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3542.7181  
Iteration 1:  Log likelihood = -3542.7181  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3547.9177  
Iteration 1:  Log likelihood = -3547.9177  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3534.7974  
Iteration 1:  Log likelihood = -3534.7974  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3543.9143  
Iteration 1:  Log likelihood = -3543.9143  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8813.1208  
Iteration 1:  Log likelihood = -8813.1208  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8813.4278  
Iteration 1:  Log likelihood = -8813.4278  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8897.8155  
Iteration 1:  Log likelihood = -8897.8155  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8868.4932  
Iteration 1:  Log likelihood = -8868.4932  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8777.8212  
Iteration 1:  Log likelihood = -8777.8212  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8803.5006  
Iteration 1:  Log likelihood = -8803.5006  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8878.0257  
Iteration 1:  Log likelihood = -8878.0257  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8854.1496  
Iteration 1:  Log likelihood = -8854.1496  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8768.3085  
Iteration 1:  Log likelihood = -8768.3085  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8838.5033  
Iteration 1:  Log likelihood = -8838.5033  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14084.584  
Iteration 1:  Log likelihood = -14084.584  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14138.425  
Iteration 1:  Log likelihood = -14138.425  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14137.085  
Iteration 1:  Log likelihood = -14137.085  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14109.166  
Iteration 1:  Log likelihood = -14109.166  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14123.005  
Iteration 1:  Log likelihood = -14123.005  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -713.86512  
Iteration 1:  Log likelihood = -713.86512  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -719.67395  
Iteration 1:  Log likelihood = -719.67395  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -699.30547  
Iteration 1:  Log likelihood = -699.30547  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -718.46791  
Iteration 1:  Log likelihood = -718.46791  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -727.24263  
Iteration 1:  Log likelihood = -727.24263  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1788.277  
Iteration 1:  Log likelihood =  -1788.277  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1734.3985  
Iteration 1:  Log likelihood = -1734.3985  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1752.714  
Iteration 1:  Log likelihood =  -1752.714  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.5594  
Iteration 1:  Log likelihood = -1780.5594  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1755.6291  
Iteration 1:  Log likelihood = -1755.6291  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.3645  
Iteration 1:  Log likelihood = -1783.3645  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1757.549  
Iteration 1:  Log likelihood =  -1757.549  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.1316  
Iteration 1:  Log likelihood = -1752.1316  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.9593  
Iteration 1:  Log likelihood = -1762.9593  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.5188  
Iteration 1:  Log likelihood = -1760.5188  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2804.9828  
Iteration 1:  Log likelihood = -2804.9828  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2813.584  
Iteration 1:  Log likelihood =  -2813.584  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2838.4837  
Iteration 1:  Log likelihood = -2838.4837  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2789.1004  
Iteration 1:  Log likelihood = -2789.1004  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2810.8152  
Iteration 1:  Log likelihood = -2810.8152  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1764.9181  
Iteration 1:  Log likelihood = -1764.9181  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.6179  
Iteration 1:  Log likelihood = -1777.6179  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.5706  
Iteration 1:  Log likelihood = -1784.5706  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.8135  
Iteration 1:  Log likelihood = -1781.8135  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.9138  
Iteration 1:  Log likelihood = -1779.9138  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4402.414  
Iteration 1:  Log likelihood =  -4402.414  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4375.6025  
Iteration 1:  Log likelihood = -4375.6025  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4440.0385  
Iteration 1:  Log likelihood = -4440.0385  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4390.1548  
Iteration 1:  Log likelihood = -4390.1548  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4429.588  
Iteration 1:  Log likelihood =  -4429.588  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4450.1423  
Iteration 1:  Log likelihood = -4450.1423  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4439.2867  
Iteration 1:  Log likelihood = -4439.2867  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4416.3178  
Iteration 1:  Log likelihood = -4416.3178  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4388.2562  
Iteration 1:  Log likelihood = -4388.2562  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4415.9206  
Iteration 1:  Log likelihood = -4415.9206  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7062.9267  
Iteration 1:  Log likelihood = -7062.9267  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7046.4129  
Iteration 1:  Log likelihood = -7046.4129  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7021.1361  
Iteration 1:  Log likelihood = -7021.1361  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7093.7703  
Iteration 1:  Log likelihood = -7093.7703  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7049.6484  
Iteration 1:  Log likelihood = -7049.6484  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3593.2186  
Iteration 1:  Log likelihood = -3593.2186  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3533.5672  
Iteration 1:  Log likelihood = -3533.5672  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3568.5007  
Iteration 1:  Log likelihood = -3568.5007  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3576.4748  
Iteration 1:  Log likelihood = -3576.4748  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3627.5708  
Iteration 1:  Log likelihood = -3627.5708  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8847.8832  
Iteration 1:  Log likelihood = -8847.8832  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8794.8779  
Iteration 1:  Log likelihood = -8794.8779  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8864.9724  
Iteration 1:  Log likelihood = -8864.9724  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8794.4005  
Iteration 1:  Log likelihood = -8794.4005  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -8807.25  
Iteration 1:  Log likelihood =   -8807.25  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8871.2981  
Iteration 1:  Log likelihood = -8871.2981  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8791.8698  
Iteration 1:  Log likelihood = -8791.8698  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8827.9567  
Iteration 1:  Log likelihood = -8827.9567  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8808.968  
Iteration 1:  Log likelihood =  -8808.968  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8849.5237  
Iteration 1:  Log likelihood = -8849.5237  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14112.077  
Iteration 1:  Log likelihood = -14112.077  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14089.282  
Iteration 1:  Log likelihood = -14089.282  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14118.621  
Iteration 1:  Log likelihood = -14118.621  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14105.114  
Iteration 1:  Log likelihood = -14105.114  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14156.219  
Iteration 1:  Log likelihood = -14156.219  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -731.35947  
Iteration 1:  Log likelihood = -731.35947  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -708.96945  
Iteration 1:  Log likelihood = -708.96945  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -710.57306  
Iteration 1:  Log likelihood = -710.57306  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -714.02152  
Iteration 1:  Log likelihood = -714.02152  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -731.21395  
Iteration 1:  Log likelihood = -731.21395  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.1415  
Iteration 1:  Log likelihood = -1767.1415  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.8816  
Iteration 1:  Log likelihood = -1782.8816  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1762.695  
Iteration 1:  Log likelihood =  -1762.695  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1741.5589  
Iteration 1:  Log likelihood = -1741.5589  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.8021  
Iteration 1:  Log likelihood = -1782.8021  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.3217  
Iteration 1:  Log likelihood = -1762.3217  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1790.8993  
Iteration 1:  Log likelihood = -1790.8993  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1778.5483  
Iteration 1:  Log likelihood = -1778.5483  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.1882  
Iteration 1:  Log likelihood = -1763.1882  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1744.6714  
Iteration 1:  Log likelihood = -1744.6714  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2801.4759  
Iteration 1:  Log likelihood = -2801.4759  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2828.2997  
Iteration 1:  Log likelihood = -2828.2997  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2850.5081  
Iteration 1:  Log likelihood = -2850.5081  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2850.3247  
Iteration 1:  Log likelihood = -2850.3247  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2818.5617  
Iteration 1:  Log likelihood = -2818.5617  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1785.8842  
Iteration 1:  Log likelihood = -1785.8842  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.7037  
Iteration 1:  Log likelihood = -1781.7037  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1776.4029  
Iteration 1:  Log likelihood = -1776.4029  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.9468  
Iteration 1:  Log likelihood = -1760.9468  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1800.713  
Iteration 1:  Log likelihood =  -1800.713  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4422.7126  
Iteration 1:  Log likelihood = -4422.7126  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4414.698  
Iteration 1:  Log likelihood =  -4414.698  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4434.427  
Iteration 1:  Log likelihood =  -4434.427  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4423.6921  
Iteration 1:  Log likelihood = -4423.6921  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4416.2485  
Iteration 1:  Log likelihood = -4416.2485  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4402.0409  
Iteration 1:  Log likelihood = -4402.0409  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4423.692  
Iteration 1:  Log likelihood =  -4423.692  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4419.1957  
Iteration 1:  Log likelihood = -4419.1957  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4414.6017  
Iteration 1:  Log likelihood = -4414.6017  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4414.343  
Iteration 1:  Log likelihood =  -4414.343  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7081.6801  
Iteration 1:  Log likelihood = -7081.6801  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7103.1413  
Iteration 1:  Log likelihood = -7103.1413  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6998.6952  
Iteration 1:  Log likelihood = -6998.6952  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7051.4734  
Iteration 1:  Log likelihood = -7051.4734  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6988.7856  
Iteration 1:  Log likelihood = -6988.7856  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3535.3988  
Iteration 1:  Log likelihood = -3535.3988  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3589.3057  
Iteration 1:  Log likelihood = -3589.3057  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3541.8294  
Iteration 1:  Log likelihood = -3541.8294  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3572.9996  
Iteration 1:  Log likelihood = -3572.9996  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3590.3752  
Iteration 1:  Log likelihood = -3590.3752  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8803.5533  
Iteration 1:  Log likelihood = -8803.5533  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8852.1874  
Iteration 1:  Log likelihood = -8852.1874  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8863.7423  
Iteration 1:  Log likelihood = -8863.7423  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8818.9742  
Iteration 1:  Log likelihood = -8818.9742  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8834.8556  
Iteration 1:  Log likelihood = -8834.8556  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8796.454  
Iteration 1:  Log likelihood =  -8796.454  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8841.1409  
Iteration 1:  Log likelihood = -8841.1409  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8808.5253  
Iteration 1:  Log likelihood = -8808.5253  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8890.5529  
Iteration 1:  Log likelihood = -8890.5529  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8821.8105  
Iteration 1:  Log likelihood = -8821.8105  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14109.17  
Iteration 1:  Log likelihood =  -14109.17  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14077.133  
Iteration 1:  Log likelihood = -14077.133  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14006.349  
Iteration 1:  Log likelihood = -14006.349  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14060.363  
Iteration 1:  Log likelihood = -14060.363  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14065.81  
Iteration 1:  Log likelihood =  -14065.81  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -724.49686  
Iteration 1:  Log likelihood = -724.49686  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -705.46989  
Iteration 1:  Log likelihood = -705.46989  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -698.76409  
Iteration 1:  Log likelihood = -698.76409  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -711.01209  
Iteration 1:  Log likelihood = -711.01209  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -716.25109  
Iteration 1:  Log likelihood = -716.25109  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1738.1281  
Iteration 1:  Log likelihood = -1738.1281  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.5662  
Iteration 1:  Log likelihood = -1779.5662  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.6638  
Iteration 1:  Log likelihood = -1761.6638  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1764.1078  
Iteration 1:  Log likelihood = -1764.1078  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1775.0034  
Iteration 1:  Log likelihood = -1775.0034  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1789.8724  
Iteration 1:  Log likelihood = -1789.8724  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1776.0463  
Iteration 1:  Log likelihood = -1776.0463  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.0944  
Iteration 1:  Log likelihood = -1774.0944  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.5435  
Iteration 1:  Log likelihood = -1783.5435  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.9274  
Iteration 1:  Log likelihood = -1760.9274  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2837.6995  
Iteration 1:  Log likelihood = -2837.6995  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2799.9749  
Iteration 1:  Log likelihood = -2799.9749  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2793.1349  
Iteration 1:  Log likelihood = -2793.1349  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2807.8266  
Iteration 1:  Log likelihood = -2807.8266  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2795.1175  
Iteration 1:  Log likelihood = -2795.1175  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.2069  
Iteration 1:  Log likelihood = -1771.2069  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1799.0417  
Iteration 1:  Log likelihood = -1799.0417  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.2909  
Iteration 1:  Log likelihood = -1770.2909  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.5663  
Iteration 1:  Log likelihood = -1791.5663  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1816.185  
Iteration 1:  Log likelihood =  -1816.185  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4428.1514  
Iteration 1:  Log likelihood = -4428.1514  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4434.0748  
Iteration 1:  Log likelihood = -4434.0748  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4408.5895  
Iteration 1:  Log likelihood = -4408.5895  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4420.0922  
Iteration 1:  Log likelihood = -4420.0922  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4463.166  
Iteration 1:  Log likelihood =  -4463.166  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4459.0141  
Iteration 1:  Log likelihood = -4459.0141  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4408.0993  
Iteration 1:  Log likelihood = -4408.0993  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4447.6671  
Iteration 1:  Log likelihood = -4447.6671  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4427.7311  
Iteration 1:  Log likelihood = -4427.7311  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4432.9538  
Iteration 1:  Log likelihood = -4432.9538  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7040.9705  
Iteration 1:  Log likelihood = -7040.9705  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7037.4127  
Iteration 1:  Log likelihood = -7037.4127  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7042.8389  
Iteration 1:  Log likelihood = -7042.8389  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7057.3257  
Iteration 1:  Log likelihood = -7057.3257  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7102.0475  
Iteration 1:  Log likelihood = -7102.0475  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3545.3821  
Iteration 1:  Log likelihood = -3545.3821  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3602.232  
Iteration 1:  Log likelihood =  -3602.232  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3559.2556  
Iteration 1:  Log likelihood = -3559.2556  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3557.8048  
Iteration 1:  Log likelihood = -3557.8048  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3571.165  
Iteration 1:  Log likelihood =  -3571.165  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8864.8729  
Iteration 1:  Log likelihood = -8864.8729  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8789.563  
Iteration 1:  Log likelihood =  -8789.563  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8808.1954  
Iteration 1:  Log likelihood = -8808.1954  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8829.5772  
Iteration 1:  Log likelihood = -8829.5772  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8794.4157  
Iteration 1:  Log likelihood = -8794.4157  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.3051  
Iteration 1:  Log likelihood = -8843.3051  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8810.1449  
Iteration 1:  Log likelihood = -8810.1449  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8812.006  
Iteration 1:  Log likelihood =  -8812.006  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8895.7692  
Iteration 1:  Log likelihood = -8895.7692  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.9839  
Iteration 1:  Log likelihood = -8843.9839  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14072.681  
Iteration 1:  Log likelihood = -14072.681  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14026.567  
Iteration 1:  Log likelihood = -14026.567  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14090.677  
Iteration 1:  Log likelihood = -14090.677  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14167.177  
Iteration 1:  Log likelihood = -14167.177  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14104.431  
Iteration 1:  Log likelihood = -14104.431  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -719.29109  
Iteration 1:  Log likelihood = -719.29109  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -694.93041  
Iteration 1:  Log likelihood = -694.93041  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -703.20596  
Iteration 1:  Log likelihood = -703.20596  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -700.23261  
Iteration 1:  Log likelihood = -700.23261  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -715.80607  
Iteration 1:  Log likelihood = -715.80607  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1769.9963  
Iteration 1:  Log likelihood = -1769.9963  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.7901  
Iteration 1:  Log likelihood = -1772.7901  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1758.663  
Iteration 1:  Log likelihood =  -1758.663  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.4734  
Iteration 1:  Log likelihood = -1777.4734  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.9791  
Iteration 1:  Log likelihood = -1783.9791  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.2573  
Iteration 1:  Log likelihood = -1782.2573  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1795.5084  
Iteration 1:  Log likelihood = -1795.5084  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.8234  
Iteration 1:  Log likelihood = -1772.8234  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1749.7715  
Iteration 1:  Log likelihood = -1749.7715  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.7632  
Iteration 1:  Log likelihood = -1752.7632  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2828.5921  
Iteration 1:  Log likelihood = -2828.5921  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2803.3889  
Iteration 1:  Log likelihood = -2803.3889  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2822.4861  
Iteration 1:  Log likelihood = -2822.4861  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2849.8321  
Iteration 1:  Log likelihood = -2849.8321  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2807.0057  
Iteration 1:  Log likelihood = -2807.0057  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1811.937  
Iteration 1:  Log likelihood =  -1811.937  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1749.8312  
Iteration 1:  Log likelihood = -1749.8312  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.1192  
Iteration 1:  Log likelihood = -1772.1192  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.2975  
Iteration 1:  Log likelihood = -1777.2975  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.9341  
Iteration 1:  Log likelihood = -1774.9341  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4381.1985  
Iteration 1:  Log likelihood = -4381.1985  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4392.008  
Iteration 1:  Log likelihood =  -4392.008  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4415.5221  
Iteration 1:  Log likelihood = -4415.5221  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4420.9558  
Iteration 1:  Log likelihood = -4420.9558  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4418.2367  
Iteration 1:  Log likelihood = -4418.2367  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4411.2615  
Iteration 1:  Log likelihood = -4411.2615  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4403.3695  
Iteration 1:  Log likelihood = -4403.3695  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4457.7031  
Iteration 1:  Log likelihood = -4457.7031  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4400.3576  
Iteration 1:  Log likelihood = -4400.3576  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4391.2027  
Iteration 1:  Log likelihood = -4391.2027  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7064.2294  
Iteration 1:  Log likelihood = -7064.2294  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7034.6072  
Iteration 1:  Log likelihood = -7034.6072  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7058.9743  
Iteration 1:  Log likelihood = -7058.9743  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7090.8677  
Iteration 1:  Log likelihood = -7090.8677  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7031.7027  
Iteration 1:  Log likelihood = -7031.7027  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3591.068  
Iteration 1:  Log likelihood =  -3591.068  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3531.8546  
Iteration 1:  Log likelihood = -3531.8546  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3513.1418  
Iteration 1:  Log likelihood = -3513.1418  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3570.8241  
Iteration 1:  Log likelihood = -3570.8241  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3553.2663  
Iteration 1:  Log likelihood = -3553.2663  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8888.7135  
Iteration 1:  Log likelihood = -8888.7135  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8838.0596  
Iteration 1:  Log likelihood = -8838.0596  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8877.042  
Iteration 1:  Log likelihood =  -8877.042  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8823.4718  
Iteration 1:  Log likelihood = -8823.4718  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8770.6506  
Iteration 1:  Log likelihood = -8770.6506  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8881.3048  
Iteration 1:  Log likelihood = -8881.3048  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8866.9629  
Iteration 1:  Log likelihood = -8866.9629  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8823.1448  
Iteration 1:  Log likelihood = -8823.1448  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8820.4479  
Iteration 1:  Log likelihood = -8820.4479  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8837.2533  
Iteration 1:  Log likelihood = -8837.2533  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14046.01  
Iteration 1:  Log likelihood =  -14046.01  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14079.732  
Iteration 1:  Log likelihood = -14079.732  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14141.773  
Iteration 1:  Log likelihood = -14141.773  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14038.706  
Iteration 1:  Log likelihood = -14038.706  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14092.409  
Iteration 1:  Log likelihood = -14092.409  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -718.2565  
Iteration 1:  Log likelihood =  -718.2565  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -716.98753  
Iteration 1:  Log likelihood = -716.98753  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -711.36848  
Iteration 1:  Log likelihood = -711.36848  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -699.55717  
Iteration 1:  Log likelihood = -699.55717  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -711.51059  
Iteration 1:  Log likelihood = -711.51059  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1793.0514  
Iteration 1:  Log likelihood = -1793.0514  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1759.7025  
Iteration 1:  Log likelihood = -1759.7025  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.3579  
Iteration 1:  Log likelihood = -1772.3579  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1765.929  
Iteration 1:  Log likelihood =  -1765.929  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1779.826  
Iteration 1:  Log likelihood =  -1779.826  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1742.4889  
Iteration 1:  Log likelihood = -1742.4889  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1741.062  
Iteration 1:  Log likelihood =  -1741.062  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.7208  
Iteration 1:  Log likelihood = -1774.7208  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.2816  
Iteration 1:  Log likelihood = -1768.2816  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.9402  
Iteration 1:  Log likelihood = -1772.9402  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2795.0952  
Iteration 1:  Log likelihood = -2795.0952  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2831.9438  
Iteration 1:  Log likelihood = -2831.9438  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2795.2981  
Iteration 1:  Log likelihood = -2795.2981  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2830.6198  
Iteration 1:  Log likelihood = -2830.6198  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2833.4988  
Iteration 1:  Log likelihood = -2833.4988  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.6166  
Iteration 1:  Log likelihood = -1781.6166  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.8815  
Iteration 1:  Log likelihood = -1782.8815  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1769.2734  
Iteration 1:  Log likelihood = -1769.2734  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1739.064  
Iteration 1:  Log likelihood =  -1739.064  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.3807  
Iteration 1:  Log likelihood = -1779.3807  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4422.9056  
Iteration 1:  Log likelihood = -4422.9056  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4431.1399  
Iteration 1:  Log likelihood = -4431.1399  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4390.4765  
Iteration 1:  Log likelihood = -4390.4765  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4428.0293  
Iteration 1:  Log likelihood = -4428.0293  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4407.2168  
Iteration 1:  Log likelihood = -4407.2168  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4382.7397  
Iteration 1:  Log likelihood = -4382.7397  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4428.2709  
Iteration 1:  Log likelihood = -4428.2709  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4383.8301  
Iteration 1:  Log likelihood = -4383.8301  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4433.9402  
Iteration 1:  Log likelihood = -4433.9402  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4429.6974  
Iteration 1:  Log likelihood = -4429.6974  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6968.9568  
Iteration 1:  Log likelihood = -6968.9568  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7067.5965  
Iteration 1:  Log likelihood = -7067.5965  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7025.542  
Iteration 1:  Log likelihood =  -7025.542  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7007.5575  
Iteration 1:  Log likelihood = -7007.5575  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7042.3276  
Iteration 1:  Log likelihood = -7042.3276  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3562.051  
Iteration 1:  Log likelihood =  -3562.051  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3598.058  
Iteration 1:  Log likelihood =  -3598.058  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3535.2387  
Iteration 1:  Log likelihood = -3535.2387  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3590.2581  
Iteration 1:  Log likelihood = -3590.2581  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3523.6144  
Iteration 1:  Log likelihood = -3523.6144  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8875.7801  
Iteration 1:  Log likelihood = -8875.7801  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8860.4002  
Iteration 1:  Log likelihood = -8860.4002  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8814.2894  
Iteration 1:  Log likelihood = -8814.2894  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8833.4043  
Iteration 1:  Log likelihood = -8833.4043  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8819.9676  
Iteration 1:  Log likelihood = -8819.9676  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8825.0987  
Iteration 1:  Log likelihood = -8825.0987  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8839.7328  
Iteration 1:  Log likelihood = -8839.7328  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8827.8061  
Iteration 1:  Log likelihood = -8827.8061  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8880.4855  
Iteration 1:  Log likelihood = -8880.4855  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8850.819  
Iteration 1:  Log likelihood =  -8850.819  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14073.769  
Iteration 1:  Log likelihood = -14073.769  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14074.295  
Iteration 1:  Log likelihood = -14074.295  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14070.131  
Iteration 1:  Log likelihood = -14070.131  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14103.189  
Iteration 1:  Log likelihood = -14103.189  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14005.134  
Iteration 1:  Log likelihood = -14005.134  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -707.14367  
Iteration 1:  Log likelihood = -707.14367  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -715.20178  
Iteration 1:  Log likelihood = -715.20178  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -708.18357  
Iteration 1:  Log likelihood = -708.18357  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -715.09237  
Iteration 1:  Log likelihood = -715.09237  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -711.38923  
Iteration 1:  Log likelihood = -711.38923  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.1078  
Iteration 1:  Log likelihood = -1774.1078  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.5681  
Iteration 1:  Log likelihood = -1762.5681  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1776.687  
Iteration 1:  Log likelihood =  -1776.687  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1725.5744  
Iteration 1:  Log likelihood = -1725.5744  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.6788  
Iteration 1:  Log likelihood = -1777.6788  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1785.8615  
Iteration 1:  Log likelihood = -1785.8615  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.9495  
Iteration 1:  Log likelihood = -1771.9495  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1780.658  
Iteration 1:  Log likelihood =  -1780.658  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.8236  
Iteration 1:  Log likelihood = -1782.8236  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1757.8161  
Iteration 1:  Log likelihood = -1757.8161  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2813.4628  
Iteration 1:  Log likelihood = -2813.4628  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2839.9029  
Iteration 1:  Log likelihood = -2839.9029  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2820.7312  
Iteration 1:  Log likelihood = -2820.7312  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2787.7475  
Iteration 1:  Log likelihood = -2787.7475  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2815.156  
Iteration 1:  Log likelihood =  -2815.156  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1798.2067  
Iteration 1:  Log likelihood = -1798.2067  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1750.0958  
Iteration 1:  Log likelihood = -1750.0958  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.4713  
Iteration 1:  Log likelihood = -1782.4713  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.4831  
Iteration 1:  Log likelihood = -1774.4831  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1801.9682  
Iteration 1:  Log likelihood = -1801.9682  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4442.5118  
Iteration 1:  Log likelihood = -4442.5118  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4363.1015  
Iteration 1:  Log likelihood = -4363.1015  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4423.0624  
Iteration 1:  Log likelihood = -4423.0624  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4433.9255  
Iteration 1:  Log likelihood = -4433.9255  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4436.2462  
Iteration 1:  Log likelihood = -4436.2462  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4416.207  
Iteration 1:  Log likelihood =  -4416.207  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4411.4077  
Iteration 1:  Log likelihood = -4411.4077  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4448.8142  
Iteration 1:  Log likelihood = -4448.8142  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4407.8759  
Iteration 1:  Log likelihood = -4407.8759  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4403.2584  
Iteration 1:  Log likelihood = -4403.2584  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7072.5998  
Iteration 1:  Log likelihood = -7072.5998  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7043.6162  
Iteration 1:  Log likelihood = -7043.6162  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7049.3313  
Iteration 1:  Log likelihood = -7049.3313  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7029.6554  
Iteration 1:  Log likelihood = -7029.6554  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7081.0717  
Iteration 1:  Log likelihood = -7081.0717  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3584.0942  
Iteration 1:  Log likelihood = -3584.0942  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3562.3821  
Iteration 1:  Log likelihood = -3562.3821  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3552.8166  
Iteration 1:  Log likelihood = -3552.8166  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3553.8281  
Iteration 1:  Log likelihood = -3553.8281  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3562.875  
Iteration 1:  Log likelihood =  -3562.875  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8766.7989  
Iteration 1:  Log likelihood = -8766.7989  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8840.3517  
Iteration 1:  Log likelihood = -8840.3517  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8816.8048  
Iteration 1:  Log likelihood = -8816.8048  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8866.575  
Iteration 1:  Log likelihood =  -8866.575  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8807.855  
Iteration 1:  Log likelihood =  -8807.855  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8800.9119  
Iteration 1:  Log likelihood = -8800.9119  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8849.7608  
Iteration 1:  Log likelihood = -8849.7608  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8847.4443  
Iteration 1:  Log likelihood = -8847.4443  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8845.8639  
Iteration 1:  Log likelihood = -8845.8639  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8827.4503  
Iteration 1:  Log likelihood = -8827.4503  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14107.469  
Iteration 1:  Log likelihood = -14107.469  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14088.818  
Iteration 1:  Log likelihood = -14088.818  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14104.344  
Iteration 1:  Log likelihood = -14104.344  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14093.555  
Iteration 1:  Log likelihood = -14093.555  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14029.657  
Iteration 1:  Log likelihood = -14029.657  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -708.65517  
Iteration 1:  Log likelihood = -708.65517  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -701.04031  
Iteration 1:  Log likelihood = -701.04031  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -729.77146  
Iteration 1:  Log likelihood = -729.77146  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -698.04779  
Iteration 1:  Log likelihood = -698.04779  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -705.86834  
Iteration 1:  Log likelihood = -705.86834  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.8187  
Iteration 1:  Log likelihood = -1773.8187  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1747.6872  
Iteration 1:  Log likelihood = -1747.6872  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1778.7461  
Iteration 1:  Log likelihood = -1778.7461  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.7292  
Iteration 1:  Log likelihood = -1772.7292  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1750.3117  
Iteration 1:  Log likelihood = -1750.3117  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.1936  
Iteration 1:  Log likelihood = -1784.1936  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.9221  
Iteration 1:  Log likelihood = -1760.9221  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.8646  
Iteration 1:  Log likelihood = -1787.8646  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.0963  
Iteration 1:  Log likelihood = -1761.0963  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1776.5238  
Iteration 1:  Log likelihood = -1776.5238  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2833.875  
Iteration 1:  Log likelihood =  -2833.875  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2819.658  
Iteration 1:  Log likelihood =  -2819.658  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2798.5108  
Iteration 1:  Log likelihood = -2798.5108  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2816.4536  
Iteration 1:  Log likelihood = -2816.4536  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2818.2918  
Iteration 1:  Log likelihood = -2818.2918  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.3394  
Iteration 1:  Log likelihood = -1777.3394  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.5807  
Iteration 1:  Log likelihood = -1772.5807  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1798.7832  
Iteration 1:  Log likelihood = -1798.7832  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1758.9387  
Iteration 1:  Log likelihood = -1758.9387  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1790.9624  
Iteration 1:  Log likelihood = -1790.9624  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4463.2469  
Iteration 1:  Log likelihood = -4463.2469  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4387.3889  
Iteration 1:  Log likelihood = -4387.3889  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4426.3824  
Iteration 1:  Log likelihood = -4426.3824  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4398.7022  
Iteration 1:  Log likelihood = -4398.7022  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4425.2141  
Iteration 1:  Log likelihood = -4425.2141  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4424.9323  
Iteration 1:  Log likelihood = -4424.9323  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4459.752  
Iteration 1:  Log likelihood =  -4459.752  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4438.1304  
Iteration 1:  Log likelihood = -4438.1304  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4404.894  
Iteration 1:  Log likelihood =  -4404.894  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4389.7639  
Iteration 1:  Log likelihood = -4389.7639  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7070.8664  
Iteration 1:  Log likelihood = -7070.8664  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7048.983  
Iteration 1:  Log likelihood =  -7048.983  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7037.4064  
Iteration 1:  Log likelihood = -7037.4064  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7056.9883  
Iteration 1:  Log likelihood = -7056.9883  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7023.3884  
Iteration 1:  Log likelihood = -7023.3884  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3574.0978  
Iteration 1:  Log likelihood = -3574.0978  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3553.5259  
Iteration 1:  Log likelihood = -3553.5259  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3551.3113  
Iteration 1:  Log likelihood = -3551.3113  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3606.7253  
Iteration 1:  Log likelihood = -3606.7253  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3572.5449  
Iteration 1:  Log likelihood = -3572.5449  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8828.7519  
Iteration 1:  Log likelihood = -8828.7519  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8828.4234  
Iteration 1:  Log likelihood = -8828.4234  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8864.2749  
Iteration 1:  Log likelihood = -8864.2749  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8798.2135  
Iteration 1:  Log likelihood = -8798.2135  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8810.5685  
Iteration 1:  Log likelihood = -8810.5685  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8888.6992  
Iteration 1:  Log likelihood = -8888.6992  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8809.2456  
Iteration 1:  Log likelihood = -8809.2456  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.9727  
Iteration 1:  Log likelihood = -8843.9727  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8836.2097  
Iteration 1:  Log likelihood = -8836.2097  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8838.1973  
Iteration 1:  Log likelihood = -8838.1973  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14149.909  
Iteration 1:  Log likelihood = -14149.909  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14223.683  
Iteration 1:  Log likelihood = -14223.683  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14152.481  
Iteration 1:  Log likelihood = -14152.481  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14131.404  
Iteration 1:  Log likelihood = -14131.404  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14150.668  
Iteration 1:  Log likelihood = -14150.668  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -708.79989  
Iteration 1:  Log likelihood = -708.79989  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -717.09245  
Iteration 1:  Log likelihood = -717.09245  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -720.2831  
Iteration 1:  Log likelihood =  -720.2831  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -722.66173  
Iteration 1:  Log likelihood = -722.66173  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -706.33772  
Iteration 1:  Log likelihood = -706.33772  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1753.1565  
Iteration 1:  Log likelihood = -1753.1565  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1765.4814  
Iteration 1:  Log likelihood = -1765.4814  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1752.462  
Iteration 1:  Log likelihood =  -1752.462  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.3968  
Iteration 1:  Log likelihood = -1772.3968  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1765.2624  
Iteration 1:  Log likelihood = -1765.2624  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.8044  
Iteration 1:  Log likelihood = -1760.8044  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1745.123  
Iteration 1:  Log likelihood =  -1745.123  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1775.2367  
Iteration 1:  Log likelihood = -1775.2367  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.1958  
Iteration 1:  Log likelihood = -1767.1958  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1767.038  
Iteration 1:  Log likelihood =  -1767.038  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2825.9744  
Iteration 1:  Log likelihood = -2825.9744  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2851.6949  
Iteration 1:  Log likelihood = -2851.6949  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2781.0215  
Iteration 1:  Log likelihood = -2781.0215  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2818.7397  
Iteration 1:  Log likelihood = -2818.7397  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2812.2585  
Iteration 1:  Log likelihood = -2812.2585  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1775.7176  
Iteration 1:  Log likelihood = -1775.7176  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.7282  
Iteration 1:  Log likelihood = -1771.7282  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1796.826  
Iteration 1:  Log likelihood =  -1796.826  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1786.9751  
Iteration 1:  Log likelihood = -1786.9751  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1799.9259  
Iteration 1:  Log likelihood = -1799.9259  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4381.7045  
Iteration 1:  Log likelihood = -4381.7045  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4424.7766  
Iteration 1:  Log likelihood = -4424.7766  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4458.1313  
Iteration 1:  Log likelihood = -4458.1313  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4396.5964  
Iteration 1:  Log likelihood = -4396.5964  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4437.7034  
Iteration 1:  Log likelihood = -4437.7034  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4418.4872  
Iteration 1:  Log likelihood = -4418.4872  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4445.044  
Iteration 1:  Log likelihood =  -4445.044  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4434.0069  
Iteration 1:  Log likelihood = -4434.0069  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4440.9352  
Iteration 1:  Log likelihood = -4440.9352  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4378.2163  
Iteration 1:  Log likelihood = -4378.2163  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7045.6028  
Iteration 1:  Log likelihood = -7045.6028  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7023.1328  
Iteration 1:  Log likelihood = -7023.1328  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7051.0606  
Iteration 1:  Log likelihood = -7051.0606  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7020.2243  
Iteration 1:  Log likelihood = -7020.2243  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7031.1763  
Iteration 1:  Log likelihood = -7031.1763  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3564.0675  
Iteration 1:  Log likelihood = -3564.0675  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3550.0323  
Iteration 1:  Log likelihood = -3550.0323  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3563.1589  
Iteration 1:  Log likelihood = -3563.1589  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3551.7306  
Iteration 1:  Log likelihood = -3551.7306  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3562.7108  
Iteration 1:  Log likelihood = -3562.7108  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8829.8301  
Iteration 1:  Log likelihood = -8829.8301  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8862.4248  
Iteration 1:  Log likelihood = -8862.4248  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8868.9592  
Iteration 1:  Log likelihood = -8868.9592  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8837.717  
Iteration 1:  Log likelihood =  -8837.717  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8805.7639  
Iteration 1:  Log likelihood = -8805.7639  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8823.6267  
Iteration 1:  Log likelihood = -8823.6267  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8870.6008  
Iteration 1:  Log likelihood = -8870.6008  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8835.9871  
Iteration 1:  Log likelihood = -8835.9871  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8871.1975  
Iteration 1:  Log likelihood = -8871.1975  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8822.822  
Iteration 1:  Log likelihood =  -8822.822  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14040.798  
Iteration 1:  Log likelihood = -14040.798  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14090.817  
Iteration 1:  Log likelihood = -14090.817  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14113.108  
Iteration 1:  Log likelihood = -14113.108  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14117.16  
Iteration 1:  Log likelihood =  -14117.16  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14079.71  
Iteration 1:  Log likelihood =  -14079.71  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -705.90932  
Iteration 1:  Log likelihood = -705.90932  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -711.3453  
Iteration 1:  Log likelihood =  -711.3453  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -713.47872  
Iteration 1:  Log likelihood = -713.47872  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -701.36415  
Iteration 1:  Log likelihood = -701.36415  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -722.53428  
Iteration 1:  Log likelihood = -722.53428  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1769.4452  
Iteration 1:  Log likelihood = -1769.4452  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1784.7704  
Iteration 1:  Log likelihood = -1784.7704  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1765.897  
Iteration 1:  Log likelihood =  -1765.897  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1765.766  
Iteration 1:  Log likelihood =  -1765.766  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.1668  
Iteration 1:  Log likelihood = -1761.1668  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.9569  
Iteration 1:  Log likelihood = -1771.9569  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.2729  
Iteration 1:  Log likelihood = -1787.2729  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.7857  
Iteration 1:  Log likelihood = -1783.7857  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1769.9599  
Iteration 1:  Log likelihood = -1769.9599  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1765.3836  
Iteration 1:  Log likelihood = -1765.3836  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2824.5912  
Iteration 1:  Log likelihood = -2824.5912  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2788.6622  
Iteration 1:  Log likelihood = -2788.6622  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2786.9992  
Iteration 1:  Log likelihood = -2786.9992  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2777.479  
Iteration 1:  Log likelihood =  -2777.479  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2801.665  
Iteration 1:  Log likelihood =  -2801.665  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1775.7881  
Iteration 1:  Log likelihood = -1775.7881  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.2277  
Iteration 1:  Log likelihood = -1777.2277  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.3304  
Iteration 1:  Log likelihood = -1777.3304  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.4049  
Iteration 1:  Log likelihood = -1777.4049  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.4615  
Iteration 1:  Log likelihood = -1791.4615  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4402.0872  
Iteration 1:  Log likelihood = -4402.0872  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4380.1014  
Iteration 1:  Log likelihood = -4380.1014  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4402.0755  
Iteration 1:  Log likelihood = -4402.0755  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4418.3758  
Iteration 1:  Log likelihood = -4418.3758  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4389.8486  
Iteration 1:  Log likelihood = -4389.8486  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -4428.82  
Iteration 1:  Log likelihood =   -4428.82  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4362.6815  
Iteration 1:  Log likelihood = -4362.6815  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4408.2094  
Iteration 1:  Log likelihood = -4408.2094  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4429.7097  
Iteration 1:  Log likelihood = -4429.7097  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4393.6303  
Iteration 1:  Log likelihood = -4393.6303  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7069.9309  
Iteration 1:  Log likelihood = -7069.9309  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6997.7322  
Iteration 1:  Log likelihood = -6997.7322  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7013.1402  
Iteration 1:  Log likelihood = -7013.1402  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7070.2507  
Iteration 1:  Log likelihood = -7070.2507  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7001.6344  
Iteration 1:  Log likelihood = -7001.6344  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3565.1517  
Iteration 1:  Log likelihood = -3565.1517  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3578.3974  
Iteration 1:  Log likelihood = -3578.3974  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3555.045  
Iteration 1:  Log likelihood =  -3555.045  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3574.4901  
Iteration 1:  Log likelihood = -3574.4901  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3520.5319  
Iteration 1:  Log likelihood = -3520.5319  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8853.5215  
Iteration 1:  Log likelihood = -8853.5215  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8807.1809  
Iteration 1:  Log likelihood = -8807.1809  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8863.7657  
Iteration 1:  Log likelihood = -8863.7657  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8796.935  
Iteration 1:  Log likelihood =  -8796.935  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8865.0711  
Iteration 1:  Log likelihood = -8865.0711  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8851.4929  
Iteration 1:  Log likelihood = -8851.4929  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8856.387  
Iteration 1:  Log likelihood =  -8856.387  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8861.7506  
Iteration 1:  Log likelihood = -8861.7506  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8827.7568  
Iteration 1:  Log likelihood = -8827.7568  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8826.4105  
Iteration 1:  Log likelihood = -8826.4105  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14115.424  
Iteration 1:  Log likelihood = -14115.424  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14076.978  
Iteration 1:  Log likelihood = -14076.978  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14071.649  
Iteration 1:  Log likelihood = -14071.649  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14199.22  
Iteration 1:  Log likelihood =  -14199.22  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14061.928  
Iteration 1:  Log likelihood = -14061.928  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -713.82341  
Iteration 1:  Log likelihood = -713.82341  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -710.5122  
Iteration 1:  Log likelihood =  -710.5122  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -713.61722  
Iteration 1:  Log likelihood = -713.61722  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -718.59197  
Iteration 1:  Log likelihood = -718.59197  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -718.47648  
Iteration 1:  Log likelihood = -718.47648  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1753.7618  
Iteration 1:  Log likelihood = -1753.7618  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.6238  
Iteration 1:  Log likelihood = -1773.6238  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.1595  
Iteration 1:  Log likelihood = -1763.1595  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.4281  
Iteration 1:  Log likelihood = -1783.4281  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1731.9739  
Iteration 1:  Log likelihood = -1731.9739  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1813.9005  
Iteration 1:  Log likelihood = -1813.9005  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.1978  
Iteration 1:  Log likelihood = -1774.1978  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.5748  
Iteration 1:  Log likelihood = -1780.5748  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.4101  
Iteration 1:  Log likelihood = -1774.4101  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.2199  
Iteration 1:  Log likelihood = -1772.2199  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2811.1127  
Iteration 1:  Log likelihood = -2811.1127  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2824.5889  
Iteration 1:  Log likelihood = -2824.5889  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2827.1282  
Iteration 1:  Log likelihood = -2827.1282  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2806.8371  
Iteration 1:  Log likelihood = -2806.8371  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2848.647  
Iteration 1:  Log likelihood =  -2848.647  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1797.4102  
Iteration 1:  Log likelihood = -1797.4102  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1798.8641  
Iteration 1:  Log likelihood = -1798.8641  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1814.3268  
Iteration 1:  Log likelihood = -1814.3268  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.5291  
Iteration 1:  Log likelihood = -1783.5291  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1818.7644  
Iteration 1:  Log likelihood = -1818.7644  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4436.5778  
Iteration 1:  Log likelihood = -4436.5778  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4415.6036  
Iteration 1:  Log likelihood = -4415.6036  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4423.9554  
Iteration 1:  Log likelihood = -4423.9554  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4376.7622  
Iteration 1:  Log likelihood = -4376.7622  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4448.9996  
Iteration 1:  Log likelihood = -4448.9996  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4435.7416  
Iteration 1:  Log likelihood = -4435.7416  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4406.9813  
Iteration 1:  Log likelihood = -4406.9813  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4382.3933  
Iteration 1:  Log likelihood = -4382.3933  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4437.9418  
Iteration 1:  Log likelihood = -4437.9418  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4485.1862  
Iteration 1:  Log likelihood = -4485.1862  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7033.3577  
Iteration 1:  Log likelihood = -7033.3577  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7093.3451  
Iteration 1:  Log likelihood = -7093.3451  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7064.6457  
Iteration 1:  Log likelihood = -7064.6457  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7064.4417  
Iteration 1:  Log likelihood = -7064.4417  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7071.1169  
Iteration 1:  Log likelihood = -7071.1169  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3547.6813  
Iteration 1:  Log likelihood = -3547.6813  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3552.2674  
Iteration 1:  Log likelihood = -3552.2674  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3555.9503  
Iteration 1:  Log likelihood = -3555.9503  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3579.1059  
Iteration 1:  Log likelihood = -3579.1059  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3584.798  
Iteration 1:  Log likelihood =  -3584.798  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8870.8868  
Iteration 1:  Log likelihood = -8870.8868  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8807.2178  
Iteration 1:  Log likelihood = -8807.2178  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8893.7732  
Iteration 1:  Log likelihood = -8893.7732  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8811.5179  
Iteration 1:  Log likelihood = -8811.5179  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8830.6218  
Iteration 1:  Log likelihood = -8830.6218  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8914.663  
Iteration 1:  Log likelihood =  -8914.663  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8858.0056  
Iteration 1:  Log likelihood = -8858.0056  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8828.1288  
Iteration 1:  Log likelihood = -8828.1288  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8860.9719  
Iteration 1:  Log likelihood = -8860.9719  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8808.9013  
Iteration 1:  Log likelihood = -8808.9013  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14090.348  
Iteration 1:  Log likelihood = -14090.348  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14047.886  
Iteration 1:  Log likelihood = -14047.886  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14076.358  
Iteration 1:  Log likelihood = -14076.358  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14055.498  
Iteration 1:  Log likelihood = -14055.498  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14181.086  
Iteration 1:  Log likelihood = -14181.086  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -706.88393  
Iteration 1:  Log likelihood = -706.88393  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -701.96079  
Iteration 1:  Log likelihood = -701.96079  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -714.05179  
Iteration 1:  Log likelihood = -714.05179  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -692.4576  
Iteration 1:  Log likelihood =  -692.4576  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -703.71986  
Iteration 1:  Log likelihood = -703.71986  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.4263  
Iteration 1:  Log likelihood = -1779.4263  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1788.2901  
Iteration 1:  Log likelihood = -1788.2901  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1756.9666  
Iteration 1:  Log likelihood = -1756.9666  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1755.571  
Iteration 1:  Log likelihood =  -1755.571  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.2008  
Iteration 1:  Log likelihood = -1770.2008  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.3726  
Iteration 1:  Log likelihood = -1752.3726  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1730.4586  
Iteration 1:  Log likelihood = -1730.4586  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.8415  
Iteration 1:  Log likelihood = -1771.8415  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1759.1441  
Iteration 1:  Log likelihood = -1759.1441  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1794.3209  
Iteration 1:  Log likelihood = -1794.3209  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2832.5044  
Iteration 1:  Log likelihood = -2832.5044  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2793.2707  
Iteration 1:  Log likelihood = -2793.2707  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2816.3297  
Iteration 1:  Log likelihood = -2816.3297  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2796.952  
Iteration 1:  Log likelihood =  -2796.952  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2799.7759  
Iteration 1:  Log likelihood = -2799.7759  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1799.7137  
Iteration 1:  Log likelihood = -1799.7137  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1798.0305  
Iteration 1:  Log likelihood = -1798.0305  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.9325  
Iteration 1:  Log likelihood = -1767.9325  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.6657  
Iteration 1:  Log likelihood = -1761.6657  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1786.5238  
Iteration 1:  Log likelihood = -1786.5238  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4401.4623  
Iteration 1:  Log likelihood = -4401.4623  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4397.5542  
Iteration 1:  Log likelihood = -4397.5542  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4389.0232  
Iteration 1:  Log likelihood = -4389.0232  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4425.6986  
Iteration 1:  Log likelihood = -4425.6986  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4412.8862  
Iteration 1:  Log likelihood = -4412.8862  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4411.7167  
Iteration 1:  Log likelihood = -4411.7167  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4413.3788  
Iteration 1:  Log likelihood = -4413.3788  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4428.2118  
Iteration 1:  Log likelihood = -4428.2118  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4436.5163  
Iteration 1:  Log likelihood = -4436.5163  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4422.6933  
Iteration 1:  Log likelihood = -4422.6933  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6953.7636  
Iteration 1:  Log likelihood = -6953.7636  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7102.6884  
Iteration 1:  Log likelihood = -7102.6884  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7037.9663  
Iteration 1:  Log likelihood = -7037.9663  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7004.5581  
Iteration 1:  Log likelihood = -7004.5581  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7089.945  
Iteration 1:  Log likelihood =  -7089.945  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3543.5655  
Iteration 1:  Log likelihood = -3543.5655  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3519.1836  
Iteration 1:  Log likelihood = -3519.1836  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3545.4248  
Iteration 1:  Log likelihood = -3545.4248  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3568.5183  
Iteration 1:  Log likelihood = -3568.5183  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3546.4738  
Iteration 1:  Log likelihood = -3546.4738  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8838.4081  
Iteration 1:  Log likelihood = -8838.4081  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8803.1042  
Iteration 1:  Log likelihood = -8803.1042  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8837.3354  
Iteration 1:  Log likelihood = -8837.3354  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8829.6252  
Iteration 1:  Log likelihood = -8829.6252  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8863.6418  
Iteration 1:  Log likelihood = -8863.6418  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8844.0561  
Iteration 1:  Log likelihood = -8844.0561  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8764.734  
Iteration 1:  Log likelihood =  -8764.734  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8879.6938  
Iteration 1:  Log likelihood = -8879.6938  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8852.3748  
Iteration 1:  Log likelihood = -8852.3748  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8821.2523  
Iteration 1:  Log likelihood = -8821.2523  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14093.962  
Iteration 1:  Log likelihood = -14093.962  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14135.517  
Iteration 1:  Log likelihood = -14135.517  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -14127.7  
Iteration 1:  Log likelihood =   -14127.7  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14177.338  
Iteration 1:  Log likelihood = -14177.338  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14154.524  
Iteration 1:  Log likelihood = -14154.524  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -712.2449  
Iteration 1:  Log likelihood =  -712.2449  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -729.21785  
Iteration 1:  Log likelihood = -729.21785  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -710.62819  
Iteration 1:  Log likelihood = -710.62819  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -712.86578  
Iteration 1:  Log likelihood = -712.86578  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -708.2523  
Iteration 1:  Log likelihood =  -708.2523  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.3685  
Iteration 1:  Log likelihood = -1752.3685  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.5439  
Iteration 1:  Log likelihood = -1763.5439  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.3698  
Iteration 1:  Log likelihood = -1782.3698  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1744.3992  
Iteration 1:  Log likelihood = -1744.3992  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1758.8764  
Iteration 1:  Log likelihood = -1758.8764  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.5585  
Iteration 1:  Log likelihood = -1762.5585  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1754.1921  
Iteration 1:  Log likelihood = -1754.1921  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1765.1864  
Iteration 1:  Log likelihood = -1765.1864  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1789.3478  
Iteration 1:  Log likelihood = -1789.3478  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.5986  
Iteration 1:  Log likelihood = -1779.5986  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2790.815  
Iteration 1:  Log likelihood =  -2790.815  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2817.6397  
Iteration 1:  Log likelihood = -2817.6397  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2855.792  
Iteration 1:  Log likelihood =  -2855.792  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2790.3946  
Iteration 1:  Log likelihood = -2790.3946  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2821.7626  
Iteration 1:  Log likelihood = -2821.7626  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1742.387  
Iteration 1:  Log likelihood =  -1742.387  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1776.2827  
Iteration 1:  Log likelihood = -1776.2827  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.7501  
Iteration 1:  Log likelihood = -1762.7501  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1801.6802  
Iteration 1:  Log likelihood = -1801.6802  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.9536  
Iteration 1:  Log likelihood = -1767.9536  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4380.2351  
Iteration 1:  Log likelihood = -4380.2351  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4400.0134  
Iteration 1:  Log likelihood = -4400.0134  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4387.5536  
Iteration 1:  Log likelihood = -4387.5536  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4431.9922  
Iteration 1:  Log likelihood = -4431.9922  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4452.7045  
Iteration 1:  Log likelihood = -4452.7045  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4409.053  
Iteration 1:  Log likelihood =  -4409.053  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4458.0852  
Iteration 1:  Log likelihood = -4458.0852  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4441.333  
Iteration 1:  Log likelihood =  -4441.333  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4374.8145  
Iteration 1:  Log likelihood = -4374.8145  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4397.5151  
Iteration 1:  Log likelihood = -4397.5151  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7020.4732  
Iteration 1:  Log likelihood = -7020.4732  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7020.6529  
Iteration 1:  Log likelihood = -7020.6529  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7096.9659  
Iteration 1:  Log likelihood = -7096.9659  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7042.065  
Iteration 1:  Log likelihood =  -7042.065  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7050.957  
Iteration 1:  Log likelihood =  -7050.957  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3600.7593  
Iteration 1:  Log likelihood = -3600.7593  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3577.106  
Iteration 1:  Log likelihood =  -3577.106  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3601.9129  
Iteration 1:  Log likelihood = -3601.9129  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3554.3744  
Iteration 1:  Log likelihood = -3554.3744  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3567.1633  
Iteration 1:  Log likelihood = -3567.1633  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8854.5019  
Iteration 1:  Log likelihood = -8854.5019  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8846.7339  
Iteration 1:  Log likelihood = -8846.7339  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.4415  
Iteration 1:  Log likelihood = -8843.4415  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8780.8794  
Iteration 1:  Log likelihood = -8780.8794  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8817.5159  
Iteration 1:  Log likelihood = -8817.5159  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8827.6045  
Iteration 1:  Log likelihood = -8827.6045  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8879.1818  
Iteration 1:  Log likelihood = -8879.1818  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8809.7169  
Iteration 1:  Log likelihood = -8809.7169  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8842.5791  
Iteration 1:  Log likelihood = -8842.5791  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8853.1785  
Iteration 1:  Log likelihood = -8853.1785  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14084.58  
Iteration 1:  Log likelihood =  -14084.58  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14070.305  
Iteration 1:  Log likelihood = -14070.305  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14155.045  
Iteration 1:  Log likelihood = -14155.045  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14003.071  
Iteration 1:  Log likelihood = -14003.071  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14108.118  
Iteration 1:  Log likelihood = -14108.118  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -713.38535  
Iteration 1:  Log likelihood = -713.38535  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -721.86553  
Iteration 1:  Log likelihood = -721.86553  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -724.01263  
Iteration 1:  Log likelihood = -724.01263  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -697.95374  
Iteration 1:  Log likelihood = -697.95374  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -708.06899  
Iteration 1:  Log likelihood = -708.06899  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1754.8361  
Iteration 1:  Log likelihood = -1754.8361  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1751.7475  
Iteration 1:  Log likelihood = -1751.7475  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1758.9796  
Iteration 1:  Log likelihood = -1758.9796  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1785.5664  
Iteration 1:  Log likelihood = -1785.5664  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1775.8644  
Iteration 1:  Log likelihood = -1775.8644  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1755.3579  
Iteration 1:  Log likelihood = -1755.3579  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1769.6649  
Iteration 1:  Log likelihood = -1769.6649  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1747.2544  
Iteration 1:  Log likelihood = -1747.2544  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1765.4719  
Iteration 1:  Log likelihood = -1765.4719  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.0731  
Iteration 1:  Log likelihood = -1768.0731  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2798.2751  
Iteration 1:  Log likelihood = -2798.2751  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2816.8603  
Iteration 1:  Log likelihood = -2816.8603  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2810.3394  
Iteration 1:  Log likelihood = -2810.3394  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2833.384  
Iteration 1:  Log likelihood =  -2833.384  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2854.1453  
Iteration 1:  Log likelihood = -2854.1453  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.7715  
Iteration 1:  Log likelihood = -1762.7715  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.2632  
Iteration 1:  Log likelihood = -1767.2632  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1813.1515  
Iteration 1:  Log likelihood = -1813.1515  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.4793  
Iteration 1:  Log likelihood = -1770.4793  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1799.3832  
Iteration 1:  Log likelihood = -1799.3832  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4381.738  
Iteration 1:  Log likelihood =  -4381.738  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4434.9738  
Iteration 1:  Log likelihood = -4434.9738  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4398.4012  
Iteration 1:  Log likelihood = -4398.4012  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4395.4409  
Iteration 1:  Log likelihood = -4395.4409  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4469.0662  
Iteration 1:  Log likelihood = -4469.0662  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4403.6392  
Iteration 1:  Log likelihood = -4403.6392  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4425.2557  
Iteration 1:  Log likelihood = -4425.2557  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4452.9658  
Iteration 1:  Log likelihood = -4452.9658  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4416.8383  
Iteration 1:  Log likelihood = -4416.8383  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4377.9492  
Iteration 1:  Log likelihood = -4377.9492  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7060.0633  
Iteration 1:  Log likelihood = -7060.0633  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7059.6157  
Iteration 1:  Log likelihood = -7059.6157  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7034.0634  
Iteration 1:  Log likelihood = -7034.0634  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7044.7334  
Iteration 1:  Log likelihood = -7044.7334  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7032.5832  
Iteration 1:  Log likelihood = -7032.5832  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3519.3884  
Iteration 1:  Log likelihood = -3519.3884  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3540.1237  
Iteration 1:  Log likelihood = -3540.1237  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3620.7494  
Iteration 1:  Log likelihood = -3620.7494  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3555.0451  
Iteration 1:  Log likelihood = -3555.0451  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3586.2718  
Iteration 1:  Log likelihood = -3586.2718  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8858.0732  
Iteration 1:  Log likelihood = -8858.0732  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8860.0905  
Iteration 1:  Log likelihood = -8860.0905  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8844.1409  
Iteration 1:  Log likelihood = -8844.1409  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8777.6461  
Iteration 1:  Log likelihood = -8777.6461  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8840.1166  
Iteration 1:  Log likelihood = -8840.1166  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8856.332  
Iteration 1:  Log likelihood =  -8856.332  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8767.1965  
Iteration 1:  Log likelihood = -8767.1965  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8812.7412  
Iteration 1:  Log likelihood = -8812.7412  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8856.6112  
Iteration 1:  Log likelihood = -8856.6112  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -8841.11  
Iteration 1:  Log likelihood =   -8841.11  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14090.91  
Iteration 1:  Log likelihood =  -14090.91  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14118.777  
Iteration 1:  Log likelihood = -14118.777  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14135.366  
Iteration 1:  Log likelihood = -14135.366  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14106.718  
Iteration 1:  Log likelihood = -14106.718  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14158.756  
Iteration 1:  Log likelihood = -14158.756  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -733.58499  
Iteration 1:  Log likelihood = -733.58499  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -698.32521  
Iteration 1:  Log likelihood = -698.32521  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -720.21604  
Iteration 1:  Log likelihood = -720.21604  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -723.27002  
Iteration 1:  Log likelihood = -723.27002  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -719.96183  
Iteration 1:  Log likelihood = -719.96183  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.1109  
Iteration 1:  Log likelihood = -1791.1109  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.9249  
Iteration 1:  Log likelihood = -1774.9249  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.2457  
Iteration 1:  Log likelihood = -1791.2457  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1759.899  
Iteration 1:  Log likelihood =  -1759.899  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1756.7786  
Iteration 1:  Log likelihood = -1756.7786  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.2446  
Iteration 1:  Log likelihood = -1774.2446  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1744.6141  
Iteration 1:  Log likelihood = -1744.6141  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.8307  
Iteration 1:  Log likelihood = -1771.8307  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1762.593  
Iteration 1:  Log likelihood =  -1762.593  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1746.2381  
Iteration 1:  Log likelihood = -1746.2381  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2808.021  
Iteration 1:  Log likelihood =  -2808.021  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2843.3834  
Iteration 1:  Log likelihood = -2843.3834  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2854.2161  
Iteration 1:  Log likelihood = -2854.2161  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2825.8811  
Iteration 1:  Log likelihood = -2825.8811  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2818.2091  
Iteration 1:  Log likelihood = -2818.2091  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.1427  
Iteration 1:  Log likelihood = -1771.1427  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1754.5342  
Iteration 1:  Log likelihood = -1754.5342  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1778.1038  
Iteration 1:  Log likelihood = -1778.1038  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.9178  
Iteration 1:  Log likelihood = -1787.9178  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1803.0547  
Iteration 1:  Log likelihood = -1803.0547  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4376.8185  
Iteration 1:  Log likelihood = -4376.8185  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4421.2232  
Iteration 1:  Log likelihood = -4421.2232  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4447.3276  
Iteration 1:  Log likelihood = -4447.3276  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4389.9108  
Iteration 1:  Log likelihood = -4389.9108  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4433.6625  
Iteration 1:  Log likelihood = -4433.6625  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4434.6146  
Iteration 1:  Log likelihood = -4434.6146  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4436.3511  
Iteration 1:  Log likelihood = -4436.3511  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4413.8163  
Iteration 1:  Log likelihood = -4413.8163  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4451.0307  
Iteration 1:  Log likelihood = -4451.0307  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4386.5222  
Iteration 1:  Log likelihood = -4386.5222  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7030.4861  
Iteration 1:  Log likelihood = -7030.4861  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7066.1148  
Iteration 1:  Log likelihood = -7066.1148  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6997.8783  
Iteration 1:  Log likelihood = -6997.8783  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7107.0886  
Iteration 1:  Log likelihood = -7107.0886  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7067.9144  
Iteration 1:  Log likelihood = -7067.9144  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3564.5179  
Iteration 1:  Log likelihood = -3564.5179  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3550.3999  
Iteration 1:  Log likelihood = -3550.3999  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3516.0715  
Iteration 1:  Log likelihood = -3516.0715  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3571.4036  
Iteration 1:  Log likelihood = -3571.4036  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3596.4026  
Iteration 1:  Log likelihood = -3596.4026  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8913.5306  
Iteration 1:  Log likelihood = -8913.5306  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8841.9979  
Iteration 1:  Log likelihood = -8841.9979  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8881.678  
Iteration 1:  Log likelihood =  -8881.678  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8846.5821  
Iteration 1:  Log likelihood = -8846.5821  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8812.3177  
Iteration 1:  Log likelihood = -8812.3177  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8730.3788  
Iteration 1:  Log likelihood = -8730.3788  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8869.5315  
Iteration 1:  Log likelihood = -8869.5315  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8844.4873  
Iteration 1:  Log likelihood = -8844.4873  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8784.9412  
Iteration 1:  Log likelihood = -8784.9412  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8802.0937  
Iteration 1:  Log likelihood = -8802.0937  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14122.551  
Iteration 1:  Log likelihood = -14122.551  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14128.234  
Iteration 1:  Log likelihood = -14128.234  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14081.115  
Iteration 1:  Log likelihood = -14081.115  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -14075.5  
Iteration 1:  Log likelihood =   -14075.5  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14138.195  
Iteration 1:  Log likelihood = -14138.195  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -699.07761  
Iteration 1:  Log likelihood = -699.07761  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -722.25721  
Iteration 1:  Log likelihood = -722.25721  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -685.30798  
Iteration 1:  Log likelihood = -685.30798  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -704.91362  
Iteration 1:  Log likelihood = -704.91362  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -704.78361  
Iteration 1:  Log likelihood = -704.78361  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.4093  
Iteration 1:  Log likelihood = -1787.4093  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.0121  
Iteration 1:  Log likelihood = -1791.0121  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.7086  
Iteration 1:  Log likelihood = -1783.7086  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1740.2305  
Iteration 1:  Log likelihood = -1740.2305  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1759.572  
Iteration 1:  Log likelihood =  -1759.572  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.3551  
Iteration 1:  Log likelihood = -1763.3551  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1793.9043  
Iteration 1:  Log likelihood = -1793.9043  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1760.257  
Iteration 1:  Log likelihood =  -1760.257  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.4918  
Iteration 1:  Log likelihood = -1783.4918  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.1118  
Iteration 1:  Log likelihood = -1771.1118  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2837.7401  
Iteration 1:  Log likelihood = -2837.7401  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2822.4326  
Iteration 1:  Log likelihood = -2822.4326  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2829.5261  
Iteration 1:  Log likelihood = -2829.5261  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2810.8489  
Iteration 1:  Log likelihood = -2810.8489  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2806.0324  
Iteration 1:  Log likelihood = -2806.0324  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.9822  
Iteration 1:  Log likelihood = -1773.9822  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1776.192  
Iteration 1:  Log likelihood =  -1776.192  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1790.689  
Iteration 1:  Log likelihood =  -1790.689  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.0931  
Iteration 1:  Log likelihood = -1770.0931  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1773.202  
Iteration 1:  Log likelihood =  -1773.202  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4410.7749  
Iteration 1:  Log likelihood = -4410.7749  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4459.7826  
Iteration 1:  Log likelihood = -4459.7826  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4439.9795  
Iteration 1:  Log likelihood = -4439.9795  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4397.3324  
Iteration 1:  Log likelihood = -4397.3324  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4399.1725  
Iteration 1:  Log likelihood = -4399.1725  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4441.7692  
Iteration 1:  Log likelihood = -4441.7692  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4394.0786  
Iteration 1:  Log likelihood = -4394.0786  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4416.399  
Iteration 1:  Log likelihood =  -4416.399  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4444.7931  
Iteration 1:  Log likelihood = -4444.7931  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4411.8372  
Iteration 1:  Log likelihood = -4411.8372  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7072.2716  
Iteration 1:  Log likelihood = -7072.2716  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7089.8682  
Iteration 1:  Log likelihood = -7089.8682  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7110.2436  
Iteration 1:  Log likelihood = -7110.2436  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7035.8011  
Iteration 1:  Log likelihood = -7035.8011  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7085.4617  
Iteration 1:  Log likelihood = -7085.4617  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3537.0992  
Iteration 1:  Log likelihood = -3537.0992  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3549.9476  
Iteration 1:  Log likelihood = -3549.9476  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3588.7758  
Iteration 1:  Log likelihood = -3588.7758  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3617.375  
Iteration 1:  Log likelihood =  -3617.375  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3608.9092  
Iteration 1:  Log likelihood = -3608.9092  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8841.4717  
Iteration 1:  Log likelihood = -8841.4717  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8827.2012  
Iteration 1:  Log likelihood = -8827.2012  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8877.6603  
Iteration 1:  Log likelihood = -8877.6603  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8793.1292  
Iteration 1:  Log likelihood = -8793.1292  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8803.4335  
Iteration 1:  Log likelihood = -8803.4335  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8823.6862  
Iteration 1:  Log likelihood = -8823.6862  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8871.8256  
Iteration 1:  Log likelihood = -8871.8256  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8848.7681  
Iteration 1:  Log likelihood = -8848.7681  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8773.6331  
Iteration 1:  Log likelihood = -8773.6331  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8820.6261  
Iteration 1:  Log likelihood = -8820.6261  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14117.64  
Iteration 1:  Log likelihood =  -14117.64  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14098.982  
Iteration 1:  Log likelihood = -14098.982  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -14051.5  
Iteration 1:  Log likelihood =   -14051.5  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14054.609  
Iteration 1:  Log likelihood = -14054.609  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14051.505  
Iteration 1:  Log likelihood = -14051.505  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -714.19081  
Iteration 1:  Log likelihood = -714.19081  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -716.91034  
Iteration 1:  Log likelihood = -716.91034  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -736.33599  
Iteration 1:  Log likelihood = -736.33599  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -722.68364  
Iteration 1:  Log likelihood = -722.68364  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -692.75241  
Iteration 1:  Log likelihood = -692.75241  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.0611  
Iteration 1:  Log likelihood = -1770.0611  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1755.7122  
Iteration 1:  Log likelihood = -1755.7122  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.0279  
Iteration 1:  Log likelihood = -1783.0279  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1739.7472  
Iteration 1:  Log likelihood = -1739.7472  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1778.7698  
Iteration 1:  Log likelihood = -1778.7698  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1757.521  
Iteration 1:  Log likelihood =  -1757.521  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1736.6337  
Iteration 1:  Log likelihood = -1736.6337  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.4985  
Iteration 1:  Log likelihood = -1762.4985  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.5078  
Iteration 1:  Log likelihood = -1780.5078  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1791.769  
Iteration 1:  Log likelihood =  -1791.769  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2820.2863  
Iteration 1:  Log likelihood = -2820.2863  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2843.132  
Iteration 1:  Log likelihood =  -2843.132  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2820.2555  
Iteration 1:  Log likelihood = -2820.2555  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2839.1467  
Iteration 1:  Log likelihood = -2839.1467  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2815.3435  
Iteration 1:  Log likelihood = -2815.3435  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1776.2385  
Iteration 1:  Log likelihood = -1776.2385  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1785.3535  
Iteration 1:  Log likelihood = -1785.3535  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.2431  
Iteration 1:  Log likelihood = -1779.2431  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1785.0536  
Iteration 1:  Log likelihood = -1785.0536  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.9228  
Iteration 1:  Log likelihood = -1791.9228  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4424.6596  
Iteration 1:  Log likelihood = -4424.6596  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4370.9332  
Iteration 1:  Log likelihood = -4370.9332  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4403.248  
Iteration 1:  Log likelihood =  -4403.248  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4386.1437  
Iteration 1:  Log likelihood = -4386.1437  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4395.5395  
Iteration 1:  Log likelihood = -4395.5395  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4431.7484  
Iteration 1:  Log likelihood = -4431.7484  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4382.8326  
Iteration 1:  Log likelihood = -4382.8326  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4426.1597  
Iteration 1:  Log likelihood = -4426.1597  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4400.3531  
Iteration 1:  Log likelihood = -4400.3531  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4385.5355  
Iteration 1:  Log likelihood = -4385.5355  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7063.8021  
Iteration 1:  Log likelihood = -7063.8021  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7007.5237  
Iteration 1:  Log likelihood = -7007.5237  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7055.7651  
Iteration 1:  Log likelihood = -7055.7651  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7032.2505  
Iteration 1:  Log likelihood = -7032.2505  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7018.7157  
Iteration 1:  Log likelihood = -7018.7157  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3545.2396  
Iteration 1:  Log likelihood = -3545.2396  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3549.8402  
Iteration 1:  Log likelihood = -3549.8402  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3568.3584  
Iteration 1:  Log likelihood = -3568.3584  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3540.2506  
Iteration 1:  Log likelihood = -3540.2506  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3533.3306  
Iteration 1:  Log likelihood = -3533.3306  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8850.1584  
Iteration 1:  Log likelihood = -8850.1584  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8812.4361  
Iteration 1:  Log likelihood = -8812.4361  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8847.3954  
Iteration 1:  Log likelihood = -8847.3954  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8946.3996  
Iteration 1:  Log likelihood = -8946.3996  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8880.0014  
Iteration 1:  Log likelihood = -8880.0014  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8860.773  
Iteration 1:  Log likelihood =  -8860.773  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8854.3761  
Iteration 1:  Log likelihood = -8854.3761  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8818.8731  
Iteration 1:  Log likelihood = -8818.8731  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8871.7304  
Iteration 1:  Log likelihood = -8871.7304  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8850.386  
Iteration 1:  Log likelihood =  -8850.386  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14111.595  
Iteration 1:  Log likelihood = -14111.595  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14006.056  
Iteration 1:  Log likelihood = -14006.056  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14096.311  
Iteration 1:  Log likelihood = -14096.311  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14057.096  
Iteration 1:  Log likelihood = -14057.096  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14103.096  
Iteration 1:  Log likelihood = -14103.096  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -725.89571  
Iteration 1:  Log likelihood = -725.89571  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -749.88931  
Iteration 1:  Log likelihood = -749.88931  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -695.66516  
Iteration 1:  Log likelihood = -695.66516  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -729.41547  
Iteration 1:  Log likelihood = -729.41547  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -713.09264  
Iteration 1:  Log likelihood = -713.09264  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1747.4267  
Iteration 1:  Log likelihood = -1747.4267  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1753.0315  
Iteration 1:  Log likelihood = -1753.0315  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.1669  
Iteration 1:  Log likelihood = -1771.1669  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1775.8028  
Iteration 1:  Log likelihood = -1775.8028  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.5618  
Iteration 1:  Log likelihood = -1780.5618  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.3173  
Iteration 1:  Log likelihood = -1761.3173  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.7065  
Iteration 1:  Log likelihood = -1761.7065  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1803.4268  
Iteration 1:  Log likelihood = -1803.4268  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1741.8383  
Iteration 1:  Log likelihood = -1741.8383  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.6328  
Iteration 1:  Log likelihood = -1752.6328  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2813.0177  
Iteration 1:  Log likelihood = -2813.0177  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2806.2501  
Iteration 1:  Log likelihood = -2806.2501  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2803.549  
Iteration 1:  Log likelihood =  -2803.549  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2806.6126  
Iteration 1:  Log likelihood = -2806.6126  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2771.0957  
Iteration 1:  Log likelihood = -2771.0957  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1783.1025  
Iteration 1:  Log likelihood = -1783.1025  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1781.984  
Iteration 1:  Log likelihood =  -1781.984  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1774.5462  
Iteration 1:  Log likelihood = -1774.5462  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1803.0687  
Iteration 1:  Log likelihood = -1803.0687  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1758.6082  
Iteration 1:  Log likelihood = -1758.6082  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4399.3168  
Iteration 1:  Log likelihood = -4399.3168  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4431.6511  
Iteration 1:  Log likelihood = -4431.6511  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4445.2732  
Iteration 1:  Log likelihood = -4445.2732  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4407.2261  
Iteration 1:  Log likelihood = -4407.2261  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4471.3694  
Iteration 1:  Log likelihood = -4471.3694  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4401.9439  
Iteration 1:  Log likelihood = -4401.9439  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4421.4967  
Iteration 1:  Log likelihood = -4421.4967  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4478.3339  
Iteration 1:  Log likelihood = -4478.3339  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4455.2889  
Iteration 1:  Log likelihood = -4455.2889  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4449.5535  
Iteration 1:  Log likelihood = -4449.5535  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7041.2031  
Iteration 1:  Log likelihood = -7041.2031  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6996.7785  
Iteration 1:  Log likelihood = -6996.7785  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7036.3293  
Iteration 1:  Log likelihood = -7036.3293  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7006.8653  
Iteration 1:  Log likelihood = -7006.8653  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7077.3099  
Iteration 1:  Log likelihood = -7077.3099  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3575.6428  
Iteration 1:  Log likelihood = -3575.6428  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3554.0363  
Iteration 1:  Log likelihood = -3554.0363  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3551.9078  
Iteration 1:  Log likelihood = -3551.9078  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3557.7105  
Iteration 1:  Log likelihood = -3557.7105  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3539.1312  
Iteration 1:  Log likelihood = -3539.1312  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8835.5144  
Iteration 1:  Log likelihood = -8835.5144  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8850.2293  
Iteration 1:  Log likelihood = -8850.2293  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.1383  
Iteration 1:  Log likelihood = -8843.1383  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8821.9428  
Iteration 1:  Log likelihood = -8821.9428  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8791.8899  
Iteration 1:  Log likelihood = -8791.8899  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8831.6368  
Iteration 1:  Log likelihood = -8831.6368  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8869.2085  
Iteration 1:  Log likelihood = -8869.2085  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8808.4828  
Iteration 1:  Log likelihood = -8808.4828  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8839.1057  
Iteration 1:  Log likelihood = -8839.1057  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8839.3819  
Iteration 1:  Log likelihood = -8839.3819  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14016.048  
Iteration 1:  Log likelihood = -14016.048  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14083.737  
Iteration 1:  Log likelihood = -14083.737  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14105.925  
Iteration 1:  Log likelihood = -14105.925  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14034.231  
Iteration 1:  Log likelihood = -14034.231  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14106.836  
Iteration 1:  Log likelihood = -14106.836  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -714.27038  
Iteration 1:  Log likelihood = -714.27038  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -707.91522  
Iteration 1:  Log likelihood = -707.91522  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -718.2443  
Iteration 1:  Log likelihood =  -718.2443  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -687.12487  
Iteration 1:  Log likelihood = -687.12487  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -709.791  
Iteration 1:  Log likelihood =   -709.791  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.1843  
Iteration 1:  Log likelihood = -1768.1843  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1764.3752  
Iteration 1:  Log likelihood = -1764.3752  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1754.715  
Iteration 1:  Log likelihood =  -1754.715  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1744.1104  
Iteration 1:  Log likelihood = -1744.1104  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1759.7126  
Iteration 1:  Log likelihood = -1759.7126  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.0777  
Iteration 1:  Log likelihood = -1763.0777  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1777.158  
Iteration 1:  Log likelihood =  -1777.158  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1739.5839  
Iteration 1:  Log likelihood = -1739.5839  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1792.363  
Iteration 1:  Log likelihood =  -1792.363  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1743.5722  
Iteration 1:  Log likelihood = -1743.5722  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2828.2926  
Iteration 1:  Log likelihood = -2828.2926  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2801.4141  
Iteration 1:  Log likelihood = -2801.4141  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2818.0978  
Iteration 1:  Log likelihood = -2818.0978  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2811.1031  
Iteration 1:  Log likelihood = -2811.1031  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2814.3664  
Iteration 1:  Log likelihood = -2814.3664  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1765.074  
Iteration 1:  Log likelihood =  -1765.074  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.3314  
Iteration 1:  Log likelihood = -1791.3314  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1764.2186  
Iteration 1:  Log likelihood = -1764.2186  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.9773  
Iteration 1:  Log likelihood = -1780.9773  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.0652  
Iteration 1:  Log likelihood = -1791.0652  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4401.8737  
Iteration 1:  Log likelihood = -4401.8737  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4387.1775  
Iteration 1:  Log likelihood = -4387.1775  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4394.3407  
Iteration 1:  Log likelihood = -4394.3407  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4380.2447  
Iteration 1:  Log likelihood = -4380.2447  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4390.7465  
Iteration 1:  Log likelihood = -4390.7465  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4406.0069  
Iteration 1:  Log likelihood = -4406.0069  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4437.1441  
Iteration 1:  Log likelihood = -4437.1441  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4448.8976  
Iteration 1:  Log likelihood = -4448.8976  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4399.4831  
Iteration 1:  Log likelihood = -4399.4831  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4387.0596  
Iteration 1:  Log likelihood = -4387.0596  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7060.4849  
Iteration 1:  Log likelihood = -7060.4849  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7054.7493  
Iteration 1:  Log likelihood = -7054.7493  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7046.095  
Iteration 1:  Log likelihood =  -7046.095  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7016.6659  
Iteration 1:  Log likelihood = -7016.6659  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7063.3001  
Iteration 1:  Log likelihood = -7063.3001  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3595.7989  
Iteration 1:  Log likelihood = -3595.7989  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3529.2791  
Iteration 1:  Log likelihood = -3529.2791  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3547.7087  
Iteration 1:  Log likelihood = -3547.7087  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3572.7886  
Iteration 1:  Log likelihood = -3572.7886  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3562.427  
Iteration 1:  Log likelihood =  -3562.427  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8776.9427  
Iteration 1:  Log likelihood = -8776.9427  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8856.9356  
Iteration 1:  Log likelihood = -8856.9356  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8891.8476  
Iteration 1:  Log likelihood = -8891.8476  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.5068  
Iteration 1:  Log likelihood = -8843.5068  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8754.9119  
Iteration 1:  Log likelihood = -8754.9119  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8870.3101  
Iteration 1:  Log likelihood = -8870.3101  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8816.1058  
Iteration 1:  Log likelihood = -8816.1058  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8757.7189  
Iteration 1:  Log likelihood = -8757.7189  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8818.8194  
Iteration 1:  Log likelihood = -8818.8194  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8819.8601  
Iteration 1:  Log likelihood = -8819.8601  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14178.015  
Iteration 1:  Log likelihood = -14178.015  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14061.775  
Iteration 1:  Log likelihood = -14061.775  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14021.996  
Iteration 1:  Log likelihood = -14021.996  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14079.768  
Iteration 1:  Log likelihood = -14079.768  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14075.74  
Iteration 1:  Log likelihood =  -14075.74  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -716.5779  
Iteration 1:  Log likelihood =  -716.5779  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -706.51264  
Iteration 1:  Log likelihood = -706.51264  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -716.04025  
Iteration 1:  Log likelihood = -716.04025  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -702.38492  
Iteration 1:  Log likelihood = -702.38492  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -715.37453  
Iteration 1:  Log likelihood = -715.37453  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1757.2356  
Iteration 1:  Log likelihood = -1757.2356  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1778.2886  
Iteration 1:  Log likelihood = -1778.2886  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1740.6184  
Iteration 1:  Log likelihood = -1740.6184  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.5136  
Iteration 1:  Log likelihood = -1771.5136  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.7818  
Iteration 1:  Log likelihood = -1766.7818  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1764.2647  
Iteration 1:  Log likelihood = -1764.2647  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.7215  
Iteration 1:  Log likelihood = -1768.7215  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1788.599  
Iteration 1:  Log likelihood =  -1788.599  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.7226  
Iteration 1:  Log likelihood = -1770.7226  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1735.7354  
Iteration 1:  Log likelihood = -1735.7354  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2827.4147  
Iteration 1:  Log likelihood = -2827.4147  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2817.8686  
Iteration 1:  Log likelihood = -2817.8686  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2796.3012  
Iteration 1:  Log likelihood = -2796.3012  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2756.8895  
Iteration 1:  Log likelihood = -2756.8895  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2792.1162  
Iteration 1:  Log likelihood = -2792.1162  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.1789  
Iteration 1:  Log likelihood = -1791.1789  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.6702  
Iteration 1:  Log likelihood = -1772.6702  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.2422  
Iteration 1:  Log likelihood = -1780.2422  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1788.2051  
Iteration 1:  Log likelihood = -1788.2051  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1789.0964  
Iteration 1:  Log likelihood = -1789.0964  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4382.7157  
Iteration 1:  Log likelihood = -4382.7157  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4441.4382  
Iteration 1:  Log likelihood = -4441.4382  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4366.8104  
Iteration 1:  Log likelihood = -4366.8104  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4401.8795  
Iteration 1:  Log likelihood = -4401.8795  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4425.6736  
Iteration 1:  Log likelihood = -4425.6736  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4419.3199  
Iteration 1:  Log likelihood = -4419.3199  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4430.6507  
Iteration 1:  Log likelihood = -4430.6507  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4408.3245  
Iteration 1:  Log likelihood = -4408.3245  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4402.927  
Iteration 1:  Log likelihood =  -4402.927  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4408.2024  
Iteration 1:  Log likelihood = -4408.2024  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7044.2722  
Iteration 1:  Log likelihood = -7044.2722  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7060.5651  
Iteration 1:  Log likelihood = -7060.5651  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7035.9604  
Iteration 1:  Log likelihood = -7035.9604  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7064.7934  
Iteration 1:  Log likelihood = -7064.7934  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7021.8598  
Iteration 1:  Log likelihood = -7021.8598  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3539.1709  
Iteration 1:  Log likelihood = -3539.1709  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3589.3213  
Iteration 1:  Log likelihood = -3589.3213  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3543.5359  
Iteration 1:  Log likelihood = -3543.5359  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3581.0587  
Iteration 1:  Log likelihood = -3581.0587  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3550.7699  
Iteration 1:  Log likelihood = -3550.7699  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8845.8928  
Iteration 1:  Log likelihood = -8845.8928  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8815.8792  
Iteration 1:  Log likelihood = -8815.8792  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8901.3382  
Iteration 1:  Log likelihood = -8901.3382  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8833.2342  
Iteration 1:  Log likelihood = -8833.2342  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8862.4537  
Iteration 1:  Log likelihood = -8862.4537  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8802.0376  
Iteration 1:  Log likelihood = -8802.0376  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8877.8434  
Iteration 1:  Log likelihood = -8877.8434  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8818.8167  
Iteration 1:  Log likelihood = -8818.8167  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8791.4522  
Iteration 1:  Log likelihood = -8791.4522  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8857.0372  
Iteration 1:  Log likelihood = -8857.0372  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14157.161  
Iteration 1:  Log likelihood = -14157.161  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14069.045  
Iteration 1:  Log likelihood = -14069.045  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14073.477  
Iteration 1:  Log likelihood = -14073.477  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14099.647  
Iteration 1:  Log likelihood = -14099.647  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14114.105  
Iteration 1:  Log likelihood = -14114.105  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -725.56174  
Iteration 1:  Log likelihood = -725.56174  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -724.44815  
Iteration 1:  Log likelihood = -724.44815  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -730.70522  
Iteration 1:  Log likelihood = -730.70522  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -709.52796  
Iteration 1:  Log likelihood = -709.52796  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -729.49607  
Iteration 1:  Log likelihood = -729.49607  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1788.1368  
Iteration 1:  Log likelihood = -1788.1368  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1757.8474  
Iteration 1:  Log likelihood = -1757.8474  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1774.321  
Iteration 1:  Log likelihood =  -1774.321  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1750.8825  
Iteration 1:  Log likelihood = -1750.8825  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.4889  
Iteration 1:  Log likelihood = -1763.4889  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1794.9602  
Iteration 1:  Log likelihood = -1794.9602  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1796.7724  
Iteration 1:  Log likelihood = -1796.7724  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1752.269  
Iteration 1:  Log likelihood =  -1752.269  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1756.3902  
Iteration 1:  Log likelihood = -1756.3902  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1764.7495  
Iteration 1:  Log likelihood = -1764.7495  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2817.3858  
Iteration 1:  Log likelihood = -2817.3858  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2841.4326  
Iteration 1:  Log likelihood = -2841.4326  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2811.9978  
Iteration 1:  Log likelihood = -2811.9978  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2829.6237  
Iteration 1:  Log likelihood = -2829.6237  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2802.0578  
Iteration 1:  Log likelihood = -2802.0578  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1769.675  
Iteration 1:  Log likelihood =  -1769.675  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1780.0383  
Iteration 1:  Log likelihood = -1780.0383  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.7198  
Iteration 1:  Log likelihood = -1787.7198  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.2433  
Iteration 1:  Log likelihood = -1779.2433  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.3569  
Iteration 1:  Log likelihood = -1770.3569  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4426.7113  
Iteration 1:  Log likelihood = -4426.7113  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4360.1521  
Iteration 1:  Log likelihood = -4360.1521  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4426.1856  
Iteration 1:  Log likelihood = -4426.1856  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4400.5521  
Iteration 1:  Log likelihood = -4400.5521  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4386.3426  
Iteration 1:  Log likelihood = -4386.3426  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4415.6541  
Iteration 1:  Log likelihood = -4415.6541  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4388.3578  
Iteration 1:  Log likelihood = -4388.3578  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4389.254  
Iteration 1:  Log likelihood =  -4389.254  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4419.0243  
Iteration 1:  Log likelihood = -4419.0243  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4444.0748  
Iteration 1:  Log likelihood = -4444.0748  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7082.0092  
Iteration 1:  Log likelihood = -7082.0092  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7059.9229  
Iteration 1:  Log likelihood = -7059.9229  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7049.7971  
Iteration 1:  Log likelihood = -7049.7971  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7090.6794  
Iteration 1:  Log likelihood = -7090.6794  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7045.8547  
Iteration 1:  Log likelihood = -7045.8547  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3567.9905  
Iteration 1:  Log likelihood = -3567.9905  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3597.0887  
Iteration 1:  Log likelihood = -3597.0887  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3571.8887  
Iteration 1:  Log likelihood = -3571.8887  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3552.162  
Iteration 1:  Log likelihood =  -3552.162  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3580.1537  
Iteration 1:  Log likelihood = -3580.1537  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8840.6409  
Iteration 1:  Log likelihood = -8840.6409  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8853.6797  
Iteration 1:  Log likelihood = -8853.6797  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8857.3042  
Iteration 1:  Log likelihood = -8857.3042  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8872.2874  
Iteration 1:  Log likelihood = -8872.2874  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8864.8896  
Iteration 1:  Log likelihood = -8864.8896  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8859.3422  
Iteration 1:  Log likelihood = -8859.3422  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8913.6906  
Iteration 1:  Log likelihood = -8913.6906  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8786.5392  
Iteration 1:  Log likelihood = -8786.5392  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8788.9527  
Iteration 1:  Log likelihood = -8788.9527  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8845.1464  
Iteration 1:  Log likelihood = -8845.1464  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14078.437  
Iteration 1:  Log likelihood = -14078.437  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -14072.74  
Iteration 1:  Log likelihood =  -14072.74  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14188.416  
Iteration 1:  Log likelihood = -14188.416  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14087.097  
Iteration 1:  Log likelihood = -14087.097  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14177.342  
Iteration 1:  Log likelihood = -14177.342  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -716.02797  
Iteration 1:  Log likelihood = -716.02797  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -720.717  
Iteration 1:  Log likelihood =   -720.717  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -722.85667  
Iteration 1:  Log likelihood = -722.85667  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -692.51584  
Iteration 1:  Log likelihood = -692.51584  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -722.9337  
Iteration 1:  Log likelihood =  -722.9337  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1734.2973  
Iteration 1:  Log likelihood = -1734.2973  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.3134  
Iteration 1:  Log likelihood = -1779.3134  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1741.4692  
Iteration 1:  Log likelihood = -1741.4692  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.7061  
Iteration 1:  Log likelihood = -1761.7061  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.9239  
Iteration 1:  Log likelihood = -1766.9239  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.8953  
Iteration 1:  Log likelihood = -1762.8953  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.8769  
Iteration 1:  Log likelihood = -1773.8769  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1752.112  
Iteration 1:  Log likelihood =  -1752.112  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.3914  
Iteration 1:  Log likelihood = -1772.3914  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.9355  
Iteration 1:  Log likelihood = -1762.9355  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2844.155  
Iteration 1:  Log likelihood =  -2844.155  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -2815.28  
Iteration 1:  Log likelihood =   -2815.28  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2796.5902  
Iteration 1:  Log likelihood = -2796.5902  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2807.588  
Iteration 1:  Log likelihood =  -2807.588  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2856.0168  
Iteration 1:  Log likelihood = -2856.0168  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1815.8331  
Iteration 1:  Log likelihood = -1815.8331  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.5569  
Iteration 1:  Log likelihood = -1767.5569  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1791.6445  
Iteration 1:  Log likelihood = -1791.6445  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.0714  
Iteration 1:  Log likelihood = -1771.0714  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1792.0129  
Iteration 1:  Log likelihood = -1792.0129  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4394.6551  
Iteration 1:  Log likelihood = -4394.6551  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4427.1044  
Iteration 1:  Log likelihood = -4427.1044  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4395.0915  
Iteration 1:  Log likelihood = -4395.0915  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4429.2596  
Iteration 1:  Log likelihood = -4429.2596  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4438.8127  
Iteration 1:  Log likelihood = -4438.8127  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4374.2864  
Iteration 1:  Log likelihood = -4374.2864  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4403.1574  
Iteration 1:  Log likelihood = -4403.1574  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4398.037  
Iteration 1:  Log likelihood =  -4398.037  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4439.1838  
Iteration 1:  Log likelihood = -4439.1838  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4406.7984  
Iteration 1:  Log likelihood = -4406.7984  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7095.6915  
Iteration 1:  Log likelihood = -7095.6915  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7019.8721  
Iteration 1:  Log likelihood = -7019.8721  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7091.7542  
Iteration 1:  Log likelihood = -7091.7542  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7064.8528  
Iteration 1:  Log likelihood = -7064.8528  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7067.3135  
Iteration 1:  Log likelihood = -7067.3135  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3565.2021  
Iteration 1:  Log likelihood = -3565.2021  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3536.8635  
Iteration 1:  Log likelihood = -3536.8635  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3613.7034  
Iteration 1:  Log likelihood = -3613.7034  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3569.7041  
Iteration 1:  Log likelihood = -3569.7041  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3561.0565  
Iteration 1:  Log likelihood = -3561.0565  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8841.9838  
Iteration 1:  Log likelihood = -8841.9838  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8800.0204  
Iteration 1:  Log likelihood = -8800.0204  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8815.6554  
Iteration 1:  Log likelihood = -8815.6554  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8899.239  
Iteration 1:  Log likelihood =  -8899.239  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8797.9879  
Iteration 1:  Log likelihood = -8797.9879  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8794.2486  
Iteration 1:  Log likelihood = -8794.2486  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8891.0569  
Iteration 1:  Log likelihood = -8891.0569  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8912.2652  
Iteration 1:  Log likelihood = -8912.2652  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8834.9461  
Iteration 1:  Log likelihood = -8834.9461  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8918.1863  
Iteration 1:  Log likelihood = -8918.1863  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14129.998  
Iteration 1:  Log likelihood = -14129.998  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14153.223  
Iteration 1:  Log likelihood = -14153.223  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14089.423  
Iteration 1:  Log likelihood = -14089.423  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14052.468  
Iteration 1:  Log likelihood = -14052.468  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14048.004  
Iteration 1:  Log likelihood = -14048.004  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -696.31862  
Iteration 1:  Log likelihood = -696.31862  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -697.64187  
Iteration 1:  Log likelihood = -697.64187  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -706.19284  
Iteration 1:  Log likelihood = -706.19284  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -691.43302  
Iteration 1:  Log likelihood = -691.43302  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -709.37502  
Iteration 1:  Log likelihood = -709.37502  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1737.8017  
Iteration 1:  Log likelihood = -1737.8017  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.0083  
Iteration 1:  Log likelihood = -1752.0083  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1759.5181  
Iteration 1:  Log likelihood = -1759.5181  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1737.5234  
Iteration 1:  Log likelihood = -1737.5234  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1755.5913  
Iteration 1:  Log likelihood = -1755.5913  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1776.6068  
Iteration 1:  Log likelihood = -1776.6068  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.9117  
Iteration 1:  Log likelihood = -1781.9117  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.1822  
Iteration 1:  Log likelihood = -1760.1822  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1748.5874  
Iteration 1:  Log likelihood = -1748.5874  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1759.2935  
Iteration 1:  Log likelihood = -1759.2935  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2789.9077  
Iteration 1:  Log likelihood = -2789.9077  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2807.804  
Iteration 1:  Log likelihood =  -2807.804  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2800.3913  
Iteration 1:  Log likelihood = -2800.3913  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2805.0779  
Iteration 1:  Log likelihood = -2805.0779  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -2827.205  
Iteration 1:  Log likelihood =  -2827.205  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.5006  
Iteration 1:  Log likelihood = -1781.5006  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1811.5368  
Iteration 1:  Log likelihood = -1811.5368  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1769.1683  
Iteration 1:  Log likelihood = -1769.1683  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1806.415  
Iteration 1:  Log likelihood =  -1806.415  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1750.9304  
Iteration 1:  Log likelihood = -1750.9304  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4428.8244  
Iteration 1:  Log likelihood = -4428.8244  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4430.0421  
Iteration 1:  Log likelihood = -4430.0421  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4406.704  
Iteration 1:  Log likelihood =  -4406.704  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4433.3353  
Iteration 1:  Log likelihood = -4433.3353  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4407.7169  
Iteration 1:  Log likelihood = -4407.7169  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4419.7429  
Iteration 1:  Log likelihood = -4419.7429  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4410.518  
Iteration 1:  Log likelihood =  -4410.518  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4398.3913  
Iteration 1:  Log likelihood = -4398.3913  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4444.4294  
Iteration 1:  Log likelihood = -4444.4294  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4386.0235  
Iteration 1:  Log likelihood = -4386.0235  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7123.0735  
Iteration 1:  Log likelihood = -7123.0735  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -6990.434  
Iteration 1:  Log likelihood =  -6990.434  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6995.5279  
Iteration 1:  Log likelihood = -6995.5279  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7031.2139  
Iteration 1:  Log likelihood = -7031.2139  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7052.1116  
Iteration 1:  Log likelihood = -7052.1116  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3592.6418  
Iteration 1:  Log likelihood = -3592.6418  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3547.5502  
Iteration 1:  Log likelihood = -3547.5502  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3577.7638  
Iteration 1:  Log likelihood = -3577.7638  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3603.0133  
Iteration 1:  Log likelihood = -3603.0133  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3594.3106  
Iteration 1:  Log likelihood = -3594.3106  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8798.6956  
Iteration 1:  Log likelihood = -8798.6956  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8749.2349  
Iteration 1:  Log likelihood = -8749.2349  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8888.8579  
Iteration 1:  Log likelihood = -8888.8579  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.0534  
Iteration 1:  Log likelihood = -8843.0534  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8858.8071  
Iteration 1:  Log likelihood = -8858.8071  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8846.1844  
Iteration 1:  Log likelihood = -8846.1844  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8822.5342  
Iteration 1:  Log likelihood = -8822.5342  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8818.4852  
Iteration 1:  Log likelihood = -8818.4852  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8869.6416  
Iteration 1:  Log likelihood = -8869.6416  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8823.507  
Iteration 1:  Log likelihood =  -8823.507  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14140.602  
Iteration 1:  Log likelihood = -14140.602  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14122.019  
Iteration 1:  Log likelihood = -14122.019  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14213.072  
Iteration 1:  Log likelihood = -14213.072  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14088.851  
Iteration 1:  Log likelihood = -14088.851  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14145.387  
Iteration 1:  Log likelihood = -14145.387  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -728.67769  
Iteration 1:  Log likelihood = -728.67769  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -724.48908  
Iteration 1:  Log likelihood = -724.48908  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -701.62994  
Iteration 1:  Log likelihood = -701.62994  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -703.44182  
Iteration 1:  Log likelihood = -703.44182  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -704.49574  
Iteration 1:  Log likelihood = -704.49574  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1756.3805  
Iteration 1:  Log likelihood = -1756.3805  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1731.7737  
Iteration 1:  Log likelihood = -1731.7737  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1765.3527  
Iteration 1:  Log likelihood = -1765.3527  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.7784  
Iteration 1:  Log likelihood = -1766.7784  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.3517  
Iteration 1:  Log likelihood = -1768.3517  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1771.8762  
Iteration 1:  Log likelihood = -1771.8762  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.4534  
Iteration 1:  Log likelihood = -1772.4534  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.7375  
Iteration 1:  Log likelihood = -1766.7375  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1748.5123  
Iteration 1:  Log likelihood = -1748.5123  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1777.9051  
Iteration 1:  Log likelihood = -1777.9051  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2834.8404  
Iteration 1:  Log likelihood = -2834.8404  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2791.8071  
Iteration 1:  Log likelihood = -2791.8071  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2816.1075  
Iteration 1:  Log likelihood = -2816.1075  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2827.8238  
Iteration 1:  Log likelihood = -2827.8238  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -2800.67  
Iteration 1:  Log likelihood =   -2800.67  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1774.779  
Iteration 1:  Log likelihood =  -1774.779  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.4892  
Iteration 1:  Log likelihood = -1760.4892  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.2967  
Iteration 1:  Log likelihood = -1762.2967  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1789.3102  
Iteration 1:  Log likelihood = -1789.3102  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1787.6572  
Iteration 1:  Log likelihood = -1787.6572  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4398.3048  
Iteration 1:  Log likelihood = -4398.3048  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4384.0453  
Iteration 1:  Log likelihood = -4384.0453  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4405.3933  
Iteration 1:  Log likelihood = -4405.3933  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4445.4097  
Iteration 1:  Log likelihood = -4445.4097  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4426.3943  
Iteration 1:  Log likelihood = -4426.3943  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4354.3913  
Iteration 1:  Log likelihood = -4354.3913  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4431.2872  
Iteration 1:  Log likelihood = -4431.2872  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4418.8673  
Iteration 1:  Log likelihood = -4418.8673  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4384.4316  
Iteration 1:  Log likelihood = -4384.4316  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4396.2836  
Iteration 1:  Log likelihood = -4396.2836  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7080.1404  
Iteration 1:  Log likelihood = -7080.1404  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7061.0107  
Iteration 1:  Log likelihood = -7061.0107  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7075.6884  
Iteration 1:  Log likelihood = -7075.6884  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7045.6236  
Iteration 1:  Log likelihood = -7045.6236  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7056.5852  
Iteration 1:  Log likelihood = -7056.5852  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3599.785  
Iteration 1:  Log likelihood =  -3599.785  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3546.5982  
Iteration 1:  Log likelihood = -3546.5982  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3560.087  
Iteration 1:  Log likelihood =  -3560.087  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3553.0711  
Iteration 1:  Log likelihood = -3553.0711  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3576.9338  
Iteration 1:  Log likelihood = -3576.9338  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8809.3554  
Iteration 1:  Log likelihood = -8809.3554  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8827.383  
Iteration 1:  Log likelihood =  -8827.383  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8784.7991  
Iteration 1:  Log likelihood = -8784.7991  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8820.6465  
Iteration 1:  Log likelihood = -8820.6465  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8917.8608  
Iteration 1:  Log likelihood = -8917.8608  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8865.8327  
Iteration 1:  Log likelihood = -8865.8327  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8823.9752  
Iteration 1:  Log likelihood = -8823.9752  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8933.3281  
Iteration 1:  Log likelihood = -8933.3281  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8889.6364  
Iteration 1:  Log likelihood = -8889.6364  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8840.6269  
Iteration 1:  Log likelihood = -8840.6269  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14071.654  
Iteration 1:  Log likelihood = -14071.654  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14118.803  
Iteration 1:  Log likelihood = -14118.803  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14068.462  
Iteration 1:  Log likelihood = -14068.462  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14105.925  
Iteration 1:  Log likelihood = -14105.925  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14157.502  
Iteration 1:  Log likelihood = -14157.502  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -706.8731  
Iteration 1:  Log likelihood =  -706.8731  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -730.35428  
Iteration 1:  Log likelihood = -730.35428  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -716.33118  
Iteration 1:  Log likelihood = -716.33118  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -704.02918  
Iteration 1:  Log likelihood = -704.02918  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -708.34303  
Iteration 1:  Log likelihood = -708.34303  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.6819  
Iteration 1:  Log likelihood = -1782.6819  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.0911  
Iteration 1:  Log likelihood = -1752.0911  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1752.0027  
Iteration 1:  Log likelihood = -1752.0027  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1767.2042  
Iteration 1:  Log likelihood = -1767.2042  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1750.4256  
Iteration 1:  Log likelihood = -1750.4256  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1778.1514  
Iteration 1:  Log likelihood = -1778.1514  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1789.421  
Iteration 1:  Log likelihood =  -1789.421  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.0754  
Iteration 1:  Log likelihood = -1773.0754  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1801.7725  
Iteration 1:  Log likelihood = -1801.7725  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1743.9424  
Iteration 1:  Log likelihood = -1743.9424  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2809.0869  
Iteration 1:  Log likelihood = -2809.0869  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2788.7317  
Iteration 1:  Log likelihood = -2788.7317  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2805.6686  
Iteration 1:  Log likelihood = -2805.6686  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2843.3907  
Iteration 1:  Log likelihood = -2843.3907  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2793.5968  
Iteration 1:  Log likelihood = -2793.5968  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.4782  
Iteration 1:  Log likelihood = -1773.4782  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1801.1785  
Iteration 1:  Log likelihood = -1801.1785  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1789.3177  
Iteration 1:  Log likelihood = -1789.3177  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1762.1016  
Iteration 1:  Log likelihood = -1762.1016  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1781.2704  
Iteration 1:  Log likelihood = -1781.2704  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4402.3048  
Iteration 1:  Log likelihood = -4402.3048  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4387.8115  
Iteration 1:  Log likelihood = -4387.8115  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4440.3812  
Iteration 1:  Log likelihood = -4440.3812  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4425.1834  
Iteration 1:  Log likelihood = -4425.1834  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4374.921  
Iteration 1:  Log likelihood =  -4374.921  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4438.2039  
Iteration 1:  Log likelihood = -4438.2039  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4409.6049  
Iteration 1:  Log likelihood = -4409.6049  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4427.4114  
Iteration 1:  Log likelihood = -4427.4114  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4402.3658  
Iteration 1:  Log likelihood = -4402.3658  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4397.2733  
Iteration 1:  Log likelihood = -4397.2733  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7094.0596  
Iteration 1:  Log likelihood = -7094.0596  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7058.8364  
Iteration 1:  Log likelihood = -7058.8364  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7015.2455  
Iteration 1:  Log likelihood = -7015.2455  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -7056.269  
Iteration 1:  Log likelihood =  -7056.269  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7050.4567  
Iteration 1:  Log likelihood = -7050.4567  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3553.4824  
Iteration 1:  Log likelihood = -3553.4824  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3570.0028  
Iteration 1:  Log likelihood = -3570.0028  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3579.001  
Iteration 1:  Log likelihood =  -3579.001  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3571.9888  
Iteration 1:  Log likelihood = -3571.9888  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3535.5348  
Iteration 1:  Log likelihood = -3535.5348  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8848.7866  
Iteration 1:  Log likelihood = -8848.7866  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8864.5366  
Iteration 1:  Log likelihood = -8864.5366  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8847.8794  
Iteration 1:  Log likelihood = -8847.8794  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8860.6053  
Iteration 1:  Log likelihood = -8860.6053  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8832.5846  
Iteration 1:  Log likelihood = -8832.5846  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8905.9585  
Iteration 1:  Log likelihood = -8905.9585  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8871.0813  
Iteration 1:  Log likelihood = -8871.0813  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8841.5812  
Iteration 1:  Log likelihood = -8841.5812  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8830.6385  
Iteration 1:  Log likelihood = -8830.6385  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8829.2808  
Iteration 1:  Log likelihood = -8829.2808  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14079.907  
Iteration 1:  Log likelihood = -14079.907  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14071.108  
Iteration 1:  Log likelihood = -14071.108  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14107.334  
Iteration 1:  Log likelihood = -14107.334  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14056.811  
Iteration 1:  Log likelihood = -14056.811  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14028.573  
Iteration 1:  Log likelihood = -14028.573  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -692.6836  
Iteration 1:  Log likelihood =  -692.6836  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -706.18708  
Iteration 1:  Log likelihood = -706.18708  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -699.89132  
Iteration 1:  Log likelihood = -699.89132  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -702.78629  
Iteration 1:  Log likelihood = -702.78629  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -704.69531  
Iteration 1:  Log likelihood = -704.69531  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1787.649  
Iteration 1:  Log likelihood =  -1787.649  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1751.607  
Iteration 1:  Log likelihood =  -1751.607  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1788.2183  
Iteration 1:  Log likelihood = -1788.2183  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -1748.41  
Iteration 1:  Log likelihood =   -1748.41  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.8017  
Iteration 1:  Log likelihood = -1770.8017  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1742.4721  
Iteration 1:  Log likelihood = -1742.4721  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1760.5898  
Iteration 1:  Log likelihood = -1760.5898  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.2021  
Iteration 1:  Log likelihood = -1772.2021  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1796.1514  
Iteration 1:  Log likelihood = -1796.1514  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1764.1296  
Iteration 1:  Log likelihood = -1764.1296  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2793.9546  
Iteration 1:  Log likelihood = -2793.9546  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2857.0596  
Iteration 1:  Log likelihood = -2857.0596  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2810.7259  
Iteration 1:  Log likelihood = -2810.7259  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2839.2963  
Iteration 1:  Log likelihood = -2839.2963  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2843.6918  
Iteration 1:  Log likelihood = -2843.6918  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1813.045  
Iteration 1:  Log likelihood =  -1813.045  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1797.246  
Iteration 1:  Log likelihood =  -1797.246  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1815.2124  
Iteration 1:  Log likelihood = -1815.2124  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.0402  
Iteration 1:  Log likelihood = -1773.0402  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1773.4316  
Iteration 1:  Log likelihood = -1773.4316  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4426.6532  
Iteration 1:  Log likelihood = -4426.6532  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4427.7124  
Iteration 1:  Log likelihood = -4427.7124  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4405.9891  
Iteration 1:  Log likelihood = -4405.9891  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4392.2525  
Iteration 1:  Log likelihood = -4392.2525  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4386.3736  
Iteration 1:  Log likelihood = -4386.3736  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4435.2112  
Iteration 1:  Log likelihood = -4435.2112  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4429.237  
Iteration 1:  Log likelihood =  -4429.237  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4366.0832  
Iteration 1:  Log likelihood = -4366.0832  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4416.4629  
Iteration 1:  Log likelihood = -4416.4629  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4380.8258  
Iteration 1:  Log likelihood = -4380.8258  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7065.2297  
Iteration 1:  Log likelihood = -7065.2297  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7030.9462  
Iteration 1:  Log likelihood = -7030.9462  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7075.4283  
Iteration 1:  Log likelihood = -7075.4283  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -6995.2684  
Iteration 1:  Log likelihood = -6995.2684  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7047.3441  
Iteration 1:  Log likelihood = -7047.3441  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3546.6477  
Iteration 1:  Log likelihood = -3546.6477  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3530.6123  
Iteration 1:  Log likelihood = -3530.6123  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3571.413  
Iteration 1:  Log likelihood =  -3571.413  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3570.5347  
Iteration 1:  Log likelihood = -3570.5347  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -3586.286  
Iteration 1:  Log likelihood =  -3586.286  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8850.5239  
Iteration 1:  Log likelihood = -8850.5239  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8818.6613  
Iteration 1:  Log likelihood = -8818.6613  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8866.7945  
Iteration 1:  Log likelihood = -8866.7945  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8874.3794  
Iteration 1:  Log likelihood = -8874.3794  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8888.9499  
Iteration 1:  Log likelihood = -8888.9499  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8846.9615  
Iteration 1:  Log likelihood = -8846.9615  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8736.1032  
Iteration 1:  Log likelihood = -8736.1032  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8919.8173  
Iteration 1:  Log likelihood = -8919.8173  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8845.3067  
Iteration 1:  Log likelihood = -8845.3067  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8847.4312  
Iteration 1:  Log likelihood = -8847.4312  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14092.976  
Iteration 1:  Log likelihood = -14092.976  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14121.856  
Iteration 1:  Log likelihood = -14121.856  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14082.363  
Iteration 1:  Log likelihood = -14082.363  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14051.824  
Iteration 1:  Log likelihood = -14051.824  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14111.217  
Iteration 1:  Log likelihood = -14111.217  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -716.86724  
Iteration 1:  Log likelihood = -716.86724  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -709.52972  
Iteration 1:  Log likelihood = -709.52972  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -707.68374  
Iteration 1:  Log likelihood = -707.68374  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -704.28869  
Iteration 1:  Log likelihood = -704.28869  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -715.43063  
Iteration 1:  Log likelihood = -715.43063  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1761.1133  
Iteration 1:  Log likelihood = -1761.1133  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1743.0646  
Iteration 1:  Log likelihood = -1743.0646  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1732.6107  
Iteration 1:  Log likelihood = -1732.6107  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.1909  
Iteration 1:  Log likelihood = -1782.1909  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -1781.616  
Iteration 1:  Log likelihood =  -1781.616  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1772.8656  
Iteration 1:  Log likelihood = -1772.8656  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.2275  
Iteration 1:  Log likelihood = -1763.2275  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1763.5786  
Iteration 1:  Log likelihood = -1763.5786  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1779.7234  
Iteration 1:  Log likelihood = -1779.7234  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1769.3885  
Iteration 1:  Log likelihood = -1769.3885  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2806.3414  
Iteration 1:  Log likelihood = -2806.3414  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2804.3863  
Iteration 1:  Log likelihood = -2804.3863  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2810.2102  
Iteration 1:  Log likelihood = -2810.2102  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2831.1189  
Iteration 1:  Log likelihood = -2831.1189  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 10.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -2801.8701  
Iteration 1:  Log likelihood = -2801.8701  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1768.7104  
Iteration 1:  Log likelihood = -1768.7104  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1770.7381  
Iteration 1:  Log likelihood = -1770.7381  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1785.0942  
Iteration 1:  Log likelihood = -1785.0942  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1782.6998  
Iteration 1:  Log likelihood = -1782.6998  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -1766.8677  
Iteration 1:  Log likelihood = -1766.8677  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -4404.185  
Iteration 1:  Log likelihood =  -4404.185  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4413.0871  
Iteration 1:  Log likelihood = -4413.0871  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4423.3014  
Iteration 1:  Log likelihood = -4423.3014  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4402.8569  
Iteration 1:  Log likelihood = -4402.8569  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4421.2234  
Iteration 1:  Log likelihood = -4421.2234  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4445.5776  
Iteration 1:  Log likelihood = -4445.5776  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -4382.81  
Iteration 1:  Log likelihood =   -4382.81  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4431.2846  
Iteration 1:  Log likelihood = -4431.2846  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4425.8932  
Iteration 1:  Log likelihood = -4425.8932  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -4375.5265  
Iteration 1:  Log likelihood = -4375.5265  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7013.3409  
Iteration 1:  Log likelihood = -7013.3409  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7080.5934  
Iteration 1:  Log likelihood = -7080.5934  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7086.1346  
Iteration 1:  Log likelihood = -7086.1346  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7023.0314  
Iteration 1:  Log likelihood = -7023.0314  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 25.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -7074.0161  
Iteration 1:  Log likelihood = -7074.0161  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3556.6355  
Iteration 1:  Log likelihood = -3556.6355  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3596.6174  
Iteration 1:  Log likelihood = -3596.6174  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3579.9585  
Iteration 1:  Log likelihood = -3579.9585  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3562.4561  
Iteration 1:  Log likelihood = -3562.4561  

Computing standard errors ...
Number of observations (_N) was 0, now 20.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -3574.9055  
Iteration 1:  Log likelihood = -3574.9055  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8840.9211  
Iteration 1:  Log likelihood = -8840.9211  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8833.9872  
Iteration 1:  Log likelihood = -8833.9872  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8843.5319  
Iteration 1:  Log likelihood = -8843.5319  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8834.6126  
Iteration 1:  Log likelihood = -8834.6126  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =  -8753.229  
Iteration 1:  Log likelihood =  -8753.229  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8853.0274  
Iteration 1:  Log likelihood = -8853.0274  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8831.2546  
Iteration 1:  Log likelihood = -8831.2546  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8866.0159  
Iteration 1:  Log likelihood = -8866.0159  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8850.1621  
Iteration 1:  Log likelihood = -8850.1621  

Computing standard errors ...
Number of observations (_N) was 0, now 50.
variable category was str3 now str4
(10 real changes made)
(10 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -8801.4075  
Iteration 1:  Log likelihood = -8801.4075  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14134.539  
Iteration 1:  Log likelihood = -14134.539  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14079.534  
Iteration 1:  Log likelihood = -14079.534  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood =   -14071.2  
Iteration 1:  Log likelihood =   -14071.2  

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14035.209  
Iteration 1:  Log likelihood = -14035.209  (backed up)

Computing standard errors ...
Number of observations (_N) was 0, now 80.
variable category was str3 now str4
(40 real changes made)
(40 real changes made)
file songs.dta saved
Number of observations (_N) was 0, now 50.
file subjects.dta saved

Performing EM optimization ...

Performing gradient-based optimization: 
Iteration 0:  Log likelihood = -14071.696  
Iteration 1:  Log likelihood = -14071.696  

Computing standard errors ...


number of observations will be reset to 1801
Press any key to continue, or Break to abort
Number of observations (_N) was 0, now 1,801.








(1 observation deleted)

Now, as before, we can calculate power. But this time we’ll group by all of the parameters we manipulated in params, so that we can get power estimates for all combinations of parameter values.

gen power = 0
replace power = 1 if p_value < $alpha

drop p_value

collapse (mean) mean_estimate mean_se power, by(n_subj n_pop n_rock beta_1)
list

save sims_table, replace

(1,553 real changes made)

     +-------------------------------------------------------------------+
     | n_subj   n_pop   n_rock   beta_1   mean_e~e    mean_se      power |
     |-------------------------------------------------------------------|
  1. |     10      10       10        1   .8518804   1.141737   .1333333 |
  2. |     10      10       10        2   2.015188   1.132307   .3666667 |
  3. |     10      10       10        3   3.611707   1.120993   .9333333 |
  4. |     10      10       10        4    4.21382   1.104315   .9666666 |
  5. |     10      10       10        5   4.915577   1.136141   .9666666 |
     |-------------------------------------------------------------------|
  6. |     10      10       40        1   .9646611   .8951944         .2 |
  7. |     10      10       40        2   1.711715   .8920619   .4333333 |
  8. |     10      10       40        3   3.147715   .8905005   .9333333 |
  9. |     10      10       40        4   4.225182   .8847606          1 |
 10. |     10      10       40        5   4.858223    .893694          1 |
     |-------------------------------------------------------------------|
 11. |     10      40       10        1   .9916084   .9020945   .1666667 |
 12. |     10      40       10        2   2.137048   .8952654   .7333333 |
 13. |     10      40       10        3   2.921423   .8960313   .9666666 |
 14. |     10      40       10        4   3.927615   .9008403          1 |
 15. |     10      40       10        5   5.021795   .8879496          1 |
     |-------------------------------------------------------------------|
 16. |     10      40       40        1   .9360849   .5630384   .4666667 |
 17. |     10      40       40        2   2.014773    .564294   .9666666 |
 18. |     10      40       40        3   3.194465   .5618773          1 |
 19. |     10      40       40        4   3.932215   .5624282          1 |
 20. |     10      40       40        5   4.919777    .563199          1 |
     |-------------------------------------------------------------------|
 21. |     25      10       10        1   1.001032   .7134387   .3666667 |
 22. |     25      10       10        2   1.857444   .7081969   .7333333 |
 23. |     25      10       10        3   2.962331   .7142764          1 |
 24. |     25      10       10        4   4.040242   .7099513          1 |
 25. |     25      10       10        5   5.029236   .7204227          1 |
     |-------------------------------------------------------------------|
 26. |     25      10       40        1    1.04707    .562542   .4666667 |
 27. |     25      10       40        2   1.980402   .5620445         .9 |
 28. |     25      10       40        3    2.90913   .5654351          1 |
 29. |     25      10       40        4   4.030881   .5610904          1 |
 30. |     25      10       40        5    5.10218   .5675955          1 |
     |-------------------------------------------------------------------|
 31. |     25      40       10        1   1.077121   .5654775   .4666667 |
 32. |     25      40       10        2   1.885855   .5645031         .8 |
 33. |     25      40       10        3   3.096456    .566758          1 |
 34. |     25      40       10        4   3.788902   .5657208          1 |
 35. |     25      40       10        5   4.948807   .5610379          1 |
     |-------------------------------------------------------------------|
 36. |     25      40       40        1   1.045176    .359548         .8 |
 37. |     25      40       40        2   2.039793   .3584379          1 |
 38. |     25      40       40        3   3.000777      .3575          1 |
 39. |     25      40       40        4   4.051725   .3576072          1 |
 40. |     25      40       40        5   4.989923   .3582708          1 |
     |-------------------------------------------------------------------|
 41. |     50      10       10        1   .9883525   .5038117         .5 |
 42. |     50      10       10        2   2.097131   .5030216          1 |
 43. |     50      10       10        3   2.930882    .503418          1 |
 44. |     50      10       10        4   3.749865    .506022          1 |
 45. |     50      10       10        5   4.924335   .5064674          1 |
     |-------------------------------------------------------------------|
 46. |     50      10       40        1   .9503928   .4005601   .7666667 |
 47. |     50      10       40        2   2.080426   .3983279          1 |
 48. |     50      10       40        3   3.110132   .4025852          1 |
 49. |     50      10       40        4   3.863661   .3996685          1 |
 50. |     50      10       40        5   4.919541   .3981874          1 |
     |-------------------------------------------------------------------|
 51. |     50      40       10        1   1.049417   .4006564   .7666667 |
 52. |     50      40       10        2   1.947035    .400966          1 |
 53. |     50      40       10        3   2.997617   .4001157          1 |
 54. |     50      40       10        4   3.996079   .4001718          1 |
 55. |     50      40       10        5   5.119928   .4001527          1 |
     |-------------------------------------------------------------------|
 56. |     50      40       40        1   1.044287      .2536   .9666666 |
 57. |     50      40       40        2   2.006066   .2528845          1 |
 58. |     50      40       40        3   3.013493   .2533133          1 |
 59. |     50      40       40        4   3.971136   .2524456          1 |
 60. |     50      40       40        5    4.98772   .2537428          1 |
     +-------------------------------------------------------------------+

file sims_table.dta saved

Here’s a graph that visualizes the output of the power simulation.

twoway (connected power beta_1 if n_subj == 10, sort) (connected power beta_1 if n_subj == 25, sort) (connected power beta_1 if n_subj == 50, sort), scheme(s2color) by(n_pop n_rock) legend(lab(1 "sample_size = 10") lab(2 "sample_size = 25") lab(3 "sample_size = 50"))
graph export "images/stata_final.png", width(1600) replace

file /Users/sworthin/Library/CloudStorage/Dropbox/workspace/training/dss-powersim/images/stata_final.png saved as PNG
    format