Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010 10:58 PM
INPUT INSTRUCTIONS
TITLE: mix12
Complier Average Causal Effect (CACE) estimation
in a randomized trial.
Data from the JOBS II intervention trial, courtesy of
Richard Price and Amiram Vinokur, University of Michigan.
The analysis below replicates that of:
Little, R.J. & Yau, L.H.Y. (1998). Statistical techniques
for analyzing data from prevention trials:
Treatment of no-shows using Rubin's causal model.
Psychological Methods, 3, 147-159.
DATA: FILE IS wjobs.dat;
VARIABLE: NAMES ARE depress risk Tx depbase age motivate educ
assert single econ nonwhite x10 c1 c2;
! c1 and c2 contain training data, that is information
! on class membership. In this application, c1 corresponds
! to the complier class - the "shows", whereas c2
! corresponds to the non-complier class. The two columns
! c1 c2
! for individuals who are in the control group
! have values
! 1 1
! to indicate that class membership is unknown,
! and for individuals who show up for treatment
! have values
! 1 0
! to indicate that the individual is known to belong
! to class 1 (compliers),
! and for individuals who do not show up for treatment
! have values
! 0 1
! to indicate that the individual is known to belong
! to class 2 (noncompliers)
USEV ARE depress risk Tx depbase age motivate educ
assert single econ nonwhite c1-c2;
CLASSES = c(2);
TRAINING = c1-c2;
ANALYSIS: TYPE = MIXTURE;
MITERATIONS = 30;
MODEL:
%OVERALL%
depress ON Tx risk depbase;
c#1 ON age educ motivate econ assert single nonwhite;
%c#1%
! c#1 is the complier class (shows)
[depress];
! the statement above lets the depress intercept be
! different for the complier class. When no covariates
! are used it is often necessary to give different
! starting values for this parameter across the classes
%c#2%
! c#2 is the noncomplier class (noshows)
[depress];
depress ON Tx@0;
! the treatment (assignment) effect is here fixed at zero
! for noshows in line with the analysis of Little & Yau (1998)
OUTPUT: tech1 tech8;
INPUT READING TERMINATED NORMALLY
mix12
Complier Average Causal Effect (CACE) estimation
in a randomized trial.
Data from the JOBS II intervention trial, courtesy of
Richard Price and Amiram Vinokur, University of Michigan.
The analysis below replicates that of:
Little, R.J. & Yau, L.H.Y. (1998). Statistical techniques
for analyzing data from prevention trials:
Treatment of no-shows using Rubin's causal model.
Psychological Methods, 3, 147-159.
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 502
Number of dependent variables 1
Number of independent variables 10
Number of continuous latent variables 0
Number of categorical latent variables 1
Observed dependent variables
Continuous
DEPRESS
Observed independent variables
RISK TX DEPBASE AGE MOTIVATE EDUC
ASSERT SINGLE ECON NONWHITE
Categorical latent variables
C
Variables with special functions
Training variables (membership)
C1 C2
Estimator MLR
Information matrix OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
Maximum number of iterations 100
Convergence criterion 0.100D-05
Optimization Specifications for the EM Algorithm
Maximum number of iterations 30
Convergence criteria
Loglikelihood change 0.100D-06
Relative loglikelihood change 0.100D-06
Derivative 0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Maximum value for logit thresholds 15
Minimum value for logit thresholds -15
Minimum expected cell size for chi-square 0.100D-01
Optimization algorithm EMA
Random Starts Specifications
Number of initial stage random starts 10
Number of final stage optimizations 2
Number of initial stage iterations 10
Initial stage convergence criterion 0.100D+01
Random starts scale 0.500D+01
Random seed for generating random starts 0
Input data file(s)
wjobs.dat
Input data format FREE
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-729.414 939021 8
-729.414 462953 7
THE MODEL ESTIMATION TERMINATED NORMALLY
TESTS OF MODEL FIT
Loglikelihood
H0 Value -729.414
H0 Scaling Correction Factor 1.032
for MLR
Information Criteria
Number of Free Parameters 14
Akaike (AIC) 1486.828
Bayesian (BIC) 1545.889
Sample-Size Adjusted BIC 1501.452
(n* = (n + 2) / 24)
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 271.90883 0.54165
2 230.09117 0.45835
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 271.93482 0.54170
2 230.06518 0.45830
CLASSIFICATION QUALITY
Entropy 0.727
CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 278 0.55378
2 224 0.44622
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.900 0.100
2 0.097 0.903
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
DEPRESS ON
TX -0.310 0.130 -2.378 0.017
RISK 0.912 0.247 3.685 0.000
DEPBASE -1.463 0.181 -8.077 0.000
Intercepts
DEPRESS 1.812 0.299 6.068 0.000
Residual Variances
DEPRESS 0.506 0.037 13.742 0.000
Latent Class 2
DEPRESS ON
TX 0.000 0.000 999.000 999.000
RISK 0.912 0.247 3.685 0.000
DEPBASE -1.463 0.181 -8.077 0.000
Intercepts
DEPRESS 1.633 0.273 5.977 0.000
Residual Variances
DEPRESS 0.506 0.037 13.742 0.000
Categorical Latent Variables
C#1 ON
AGE 0.079 0.015 5.184 0.000
EDUC 0.300 0.068 4.390 0.000
MOTIVATE 0.667 0.157 4.243 0.000
ECON -0.159 0.152 -1.045 0.296
ASSERT -0.376 0.143 -2.631 0.009
SINGLE 0.540 0.283 1.908 0.056
NONWHITE -0.499 0.317 -1.571 0.116
Intercepts
C#1 -8.740 1.590 -5.498 0.000
LOGISTIC REGRESSION ODDS RATIO RESULTS
Categorical Latent Variables
C#1 ON
AGE 1.082
EDUC 1.350
MOTIVATE 1.948
ECON 0.853
ASSERT 0.687
SINGLE 1.716
NONWHITE 0.607
ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
Parameterization using Reference Class 1
C#2 ON
AGE -0.079 0.015 -5.184 0.000
MOTIVATE -0.667 0.157 -4.243 0.000
EDUC -0.300 0.068 -4.390 0.000
ASSERT 0.376 0.143 2.631 0.009
SINGLE -0.540 0.283 -1.908 0.056
ECON 0.159 0.152 1.045 0.296
NONWHITE 0.499 0.317 1.571 0.116
Intercepts
C#2 8.740 1.590 5.498 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.478E-04
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
NU
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 0 0 0 0 0
NU
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0 0 0 0 0
NU
NONWHITE
________
1 0
LAMBDA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0 0 0 0 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
LAMBDA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0 0 0 0 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
LAMBDA
NONWHITE
________
DEPRESS 0
RISK 0
TX 0
DEPBASE 0
AGE 0
MOTIVATE 0
EDUC 0
ASSERT 0
SINGLE 0
ECON 0
NONWHITE 0
THETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0
RISK 0 0
TX 0 0 0
DEPBASE 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
THETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0
EDUC 0 0
ASSERT 0 0 0
SINGLE 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
THETA
NONWHITE
________
NONWHITE 0
ALPHA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 1 0 0 0 0
ALPHA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0 0 0 0 0
ALPHA
NONWHITE
________
1 0
BETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0 2 3 4 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
BETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0 0 0 0 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
BETA
NONWHITE
________
DEPRESS 0
RISK 0
TX 0
DEPBASE 0
AGE 0
MOTIVATE 0
EDUC 0
ASSERT 0
SINGLE 0
ECON 0
NONWHITE 0
PSI
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 5
RISK 0 0
TX 0 0 0
DEPBASE 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
PSI
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0
EDUC 0 0
ASSERT 0 0 0
SINGLE 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
PSI
NONWHITE
________
NONWHITE 0
PARAMETER SPECIFICATION FOR LATENT CLASS 2
NU
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 0 0 0 0 0
NU
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0 0 0 0 0
NU
NONWHITE
________
1 0
LAMBDA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0 0 0 0 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
LAMBDA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0 0 0 0 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
LAMBDA
NONWHITE
________
DEPRESS 0
RISK 0
TX 0
DEPBASE 0
AGE 0
MOTIVATE 0
EDUC 0
ASSERT 0
SINGLE 0
ECON 0
NONWHITE 0
THETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0
RISK 0 0
TX 0 0 0
DEPBASE 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
THETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0
EDUC 0 0
ASSERT 0 0 0
SINGLE 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
THETA
NONWHITE
________
NONWHITE 0
ALPHA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 6 0 0 0 0
ALPHA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0 0 0 0 0
ALPHA
NONWHITE
________
1 0
BETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0 2 0 4 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
BETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0 0 0 0 0
RISK 0 0 0 0 0
TX 0 0 0 0 0
DEPBASE 0 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
BETA
NONWHITE
________
DEPRESS 0
RISK 0
TX 0
DEPBASE 0
AGE 0
MOTIVATE 0
EDUC 0
ASSERT 0
SINGLE 0
ECON 0
NONWHITE 0
PSI
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 5
RISK 0 0
TX 0 0 0
DEPBASE 0 0 0 0
AGE 0 0 0 0 0
MOTIVATE 0 0 0 0 0
EDUC 0 0 0 0 0
ASSERT 0 0 0 0 0
SINGLE 0 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
PSI
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0
EDUC 0 0
ASSERT 0 0 0
SINGLE 0 0 0 0
ECON 0 0 0 0 0
NONWHITE 0 0 0 0 0
PSI
NONWHITE
________
NONWHITE 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
1 7 0
GAMMA(C)
RISK TX DEPBASE AGE MOTIVATE
________ ________ ________ ________ ________
C#1 0 0 0 8 9
C#2 0 0 0 0 0
GAMMA(C)
EDUC ASSERT SINGLE ECON NONWHITE
________ ________ ________ ________ ________
C#1 10 11 12 13 14
C#2 0 0 0 0 0
STARTING VALUES FOR LATENT CLASS 1
NU
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
NU
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
NU
NONWHITE
________
1 0.000
LAMBDA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 1.000 0.000 0.000 0.000 0.000
RISK 0.000 1.000 0.000 0.000 0.000
TX 0.000 0.000 1.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 1.000 0.000
AGE 0.000 0.000 0.000 0.000 1.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
LAMBDA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0.000 0.000 0.000 0.000 0.000
RISK 0.000 0.000 0.000 0.000 0.000
TX 0.000 0.000 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 1.000 0.000 0.000 0.000 0.000
EDUC 0.000 1.000 0.000 0.000 0.000
ASSERT 0.000 0.000 1.000 0.000 0.000
SINGLE 0.000 0.000 0.000 1.000 0.000
ECON 0.000 0.000 0.000 0.000 1.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
LAMBDA
NONWHITE
________
DEPRESS 0.000
RISK 0.000
TX 0.000
DEPBASE 0.000
AGE 0.000
MOTIVATE 0.000
EDUC 0.000
ASSERT 0.000
SINGLE 0.000
ECON 0.000
NONWHITE 1.000
THETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0.000
RISK 0.000 0.000
TX 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
THETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0.000
EDUC 0.000 0.000
ASSERT 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
THETA
NONWHITE
________
NONWHITE 0.000
ALPHA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 -1.211 0.000 0.000 0.000 0.000
ALPHA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
ALPHA
NONWHITE
________
1 0.000
BETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0.000 0.000 0.000 0.000 0.000
RISK 0.000 0.000 0.000 0.000 0.000
TX 0.000 0.000 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
BETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0.000 0.000 0.000 0.000 0.000
RISK 0.000 0.000 0.000 0.000 0.000
TX 0.000 0.000 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
BETA
NONWHITE
________
DEPRESS 0.000
RISK 0.000
TX 0.000
DEPBASE 0.000
AGE 0.000
MOTIVATE 0.000
EDUC 0.000
ASSERT 0.000
SINGLE 0.000
ECON 0.000
NONWHITE 0.000
PSI
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0.303
RISK 0.000 0.021
TX 0.000 0.000 0.111
DEPBASE 0.000 0.000 0.000 0.045
AGE 0.000 0.000 0.000 0.000 49.554
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
PSI
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0.328
EDUC 0.000 2.047
ASSERT 0.000 0.000 0.418
SINGLE 0.000 0.000 0.000 0.118
ECON 0.000 0.000 0.000 0.000 0.379
NONWHITE 0.000 0.000 0.000 0.000 0.000
PSI
NONWHITE
________
NONWHITE 0.077
STARTING VALUES FOR LATENT CLASS 2
NU
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
NU
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
NU
NONWHITE
________
1 0.000
LAMBDA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 1.000 0.000 0.000 0.000 0.000
RISK 0.000 1.000 0.000 0.000 0.000
TX 0.000 0.000 1.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 1.000 0.000
AGE 0.000 0.000 0.000 0.000 1.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
LAMBDA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0.000 0.000 0.000 0.000 0.000
RISK 0.000 0.000 0.000 0.000 0.000
TX 0.000 0.000 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 1.000 0.000 0.000 0.000 0.000
EDUC 0.000 1.000 0.000 0.000 0.000
ASSERT 0.000 0.000 1.000 0.000 0.000
SINGLE 0.000 0.000 0.000 1.000 0.000
ECON 0.000 0.000 0.000 0.000 1.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
LAMBDA
NONWHITE
________
DEPRESS 0.000
RISK 0.000
TX 0.000
DEPBASE 0.000
AGE 0.000
MOTIVATE 0.000
EDUC 0.000
ASSERT 0.000
SINGLE 0.000
ECON 0.000
NONWHITE 1.000
THETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0.000
RISK 0.000 0.000
TX 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
THETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0.000
EDUC 0.000 0.000
ASSERT 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
THETA
NONWHITE
________
NONWHITE 0.000
ALPHA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
1 0.345 0.000 0.000 0.000 0.000
ALPHA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
1 0.000 0.000 0.000 0.000 0.000
ALPHA
NONWHITE
________
1 0.000
BETA
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0.000 0.000 0.000 0.000 0.000
RISK 0.000 0.000 0.000 0.000 0.000
TX 0.000 0.000 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
BETA
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
DEPRESS 0.000 0.000 0.000 0.000 0.000
RISK 0.000 0.000 0.000 0.000 0.000
TX 0.000 0.000 0.000 0.000 0.000
DEPBASE 0.000 0.000 0.000 0.000 0.000
AGE 0.000 0.000 0.000 0.000 0.000
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
BETA
NONWHITE
________
DEPRESS 0.000
RISK 0.000
TX 0.000
DEPBASE 0.000
AGE 0.000
MOTIVATE 0.000
EDUC 0.000
ASSERT 0.000
SINGLE 0.000
ECON 0.000
NONWHITE 0.000
PSI
DEPRESS RISK TX DEPBASE AGE
________ ________ ________ ________ ________
DEPRESS 0.303
RISK 0.000 0.021
TX 0.000 0.000 0.111
DEPBASE 0.000 0.000 0.000 0.045
AGE 0.000 0.000 0.000 0.000 49.554
MOTIVATE 0.000 0.000 0.000 0.000 0.000
EDUC 0.000 0.000 0.000 0.000 0.000
ASSERT 0.000 0.000 0.000 0.000 0.000
SINGLE 0.000 0.000 0.000 0.000 0.000
ECON 0.000 0.000 0.000 0.000 0.000
NONWHITE 0.000 0.000 0.000 0.000 0.000
PSI
MOTIVATE EDUC ASSERT SINGLE ECON
________ ________ ________ ________ ________
MOTIVATE 0.328
EDUC 0.000 2.047
ASSERT 0.000 0.000 0.418
SINGLE 0.000 0.000 0.000 0.118
ECON 0.000 0.000 0.000 0.000 0.379
NONWHITE 0.000 0.000 0.000 0.000 0.000
PSI
NONWHITE
________
NONWHITE 0.077
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
1 0.000 0.000
GAMMA(C)
RISK TX DEPBASE AGE MOTIVATE
________ ________ ________ ________ ________
C#1 0.000 0.000 0.000 0.000 0.000
C#2 0.000 0.000 0.000 0.000 0.000
GAMMA(C)
EDUC ASSERT SINGLE ECON NONWHITE
________ ________ ________ ________ ________
C#1 0.000 0.000 0.000 0.000 0.000
C#2 0.000 0.000 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.11647096D+04 0.0000000 0.0000000 268.776 233.224 EM
2 -0.75458602D+03 410.1235525 0.3521252 265.003 236.997 EM
3 -0.73781737D+03 16.7686510 0.0222223 267.836 234.164 EM
4 -0.73232986D+03 5.4875030 0.0074375 270.153 231.847 EM
5 -0.73040729D+03 1.9225690 0.0026253 271.420 230.580 EM
6 -0.72974760D+03 0.6596899 0.0009032 271.946 230.054 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.65779412D+05 0.0000000 0.0000000 153.875 348.125 EM
2 -0.35216541D+05 ************ 0.4646267 182.465 319.535 EM
3 -0.35216065D+05 0.4769335 0.0000135 182.467 319.533 EM
4 -0.35216065D+05 0.0000024 0.0000000 182.467 319.533 EM
5 -0.35216065D+05 0.0000000 0.0000000 182.467 319.533 EM
6 -0.35216065D+05 0.0000000 0.0000000 182.467 319.533 EM
7 -0.35216065D+05 0.0000000 0.0000000 182.467 319.533 EM
8 -0.35216065D+05 0.0000000 0.0000000 182.467 319.533 EM
9 -0.35216065D+05 0.0000000 0.0000000 182.467 319.533 EM
10 -0.35216065D+05 0.0000000 0.0000000 182.467 319.533 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.41881405D+05 0.0000000 0.0000000 182.500 319.500 EM
2 -0.38087304D+05 3794.1007531 0.0905915 182.500 319.500 EM
3 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
4 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
5 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
6 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
7 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
8 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
9 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
10 -0.38087304D+05 0.0000000 0.0000000 182.500 319.500 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.59161295D+04 0.0000000 0.0000000 184.850 317.150 EM
2 -0.80312504D+03 5113.0044728 0.8642482 195.541 306.459 EM
3 -0.78143212D+03 21.6929188 0.0270106 208.130 293.870 EM
4 -0.76490154D+03 16.5305846 0.0211542 223.003 278.997 EM
5 -0.75106151D+03 13.8400240 0.0180939 238.250 263.750 EM
6 -0.74051204D+03 10.5494718 0.0140461 251.403 250.597 EM
7 -0.73408624D+03 6.4257979 0.0086775 260.670 241.330 EM
8 -0.73109834D+03 2.9878995 0.0040702 266.151 235.849 EM
9 -0.72997216D+03 1.1261804 0.0015404 269.054 232.946 EM
10 -0.72959391D+03 0.3782536 0.0005182 270.505 231.495 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.45649156D+05 0.0000000 0.0000000 184.725 317.275 EM
2 -0.80297258D+03 ************ 0.9824099 195.680 306.320 EM
3 -0.78114849D+03 21.8240822 0.0271791 208.352 293.648 EM
4 -0.76465378D+03 16.4947152 0.0211160 223.255 278.745 EM
5 -0.75085845D+03 13.7953282 0.0180413 238.489 263.511 EM
6 -0.74037239D+03 10.4860632 0.0139654 251.589 250.411 EM
7 -0.73401343D+03 6.3589602 0.0085889 260.788 241.212 EM
8 -0.73106884D+03 2.9445895 0.0040116 266.216 235.784 EM
9 -0.72996193D+03 1.1069107 0.0015141 269.087 232.913 EM
10 -0.72959058D+03 0.3713426 0.0005087 270.522 231.478 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.25520315D+05 0.0000000 0.0000000 350.000 152.000 EM
2 -0.16242008D+05 9278.3070774 0.3635655 350.000 152.000 EM
3 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
4 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
5 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
6 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
7 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
8 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
9 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
10 -0.16242008D+05 0.0000000 0.0000000 350.000 152.000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.13456169D+05 0.0000000 0.0000000 200.327 301.673 EM
2 -0.76218195D+03 ************ 0.9433582 241.880 260.120 EM
3 -0.73893251D+03 23.2494394 0.0305038 259.501 242.499 EM
4 -0.73243754D+03 6.4949758 0.0087897 266.932 235.068 EM
5 -0.73036084D+03 2.0766958 0.0028353 270.143 231.857 EM
6 -0.72971066D+03 0.6501771 0.0008902 271.421 230.579 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.32221218D+05 0.0000000 0.0000000 350.000 152.000 EM
2 -0.75243855D+03 ************ 0.9766477 299.972 202.028 EM
3 -0.73266980D+03 19.7687547 0.0262729 281.877 220.123 EM
4 -0.73001197D+03 2.6578341 0.0036276 275.994 226.006 EM
5 -0.72953399D+03 0.4779800 0.0006548 273.645 228.355 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.11733712D+05 0.0000000 0.0000000 350.000 152.000 EM
2 -0.75243858D+03 ************ 0.9358738 299.972 202.028 EM
3 -0.73266980D+03 19.7687813 0.0262730 281.877 220.123 EM
4 -0.73001197D+03 2.6578358 0.0036276 275.994 226.006 EM
5 -0.72953399D+03 0.4779804 0.0006548 273.645 228.355 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.51285068D+05 0.0000000 0.0000000 219.209 282.791 EM
2 -0.14391551D+05 ************ 0.7193813 350.000 152.000 EM
3 -0.14381189D+05 10.3625936 0.0007200 350.000 152.000 EM
4 -0.14381189D+05 0.0000000 0.0000000 350.000 152.000 EM
5 -0.14381189D+05 0.0000000 0.0000000 350.000 152.000 EM
6 -0.14381189D+05 0.0000000 0.0000000 350.000 152.000 EM
7 -0.14381189D+05 0.0000000 0.0000000 350.000 152.000 EM
8 -0.14381189D+05 0.0000000 0.0000000 350.000 152.000 EM
9 -0.14381189D+05 0.0000000 0.0000000 350.000 152.000 EM
10 -0.14381189D+05 0.0000000 0.0000000 350.000 152.000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.32099533D+05 0.0000000 0.0000000 350.000 152.000 EM
2 -0.29778338D+05 2321.1947477 0.0723124 350.000 152.000 EM
3 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
4 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
5 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
6 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
7 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
8 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
9 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
10 -0.29778338D+05 0.0000000 0.0000000 350.000 152.000 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
5 -0.72953399D+03 0.4779800 0.0006548 273.645 228.355 EM
6 -0.72944147D+03 0.0925130 0.0001268 272.682 229.318 EM
7 -0.72942124D+03 0.0202364 0.0000277 272.275 229.725 EM
8 -0.72941617D+03 0.0050630 0.0000069 272.096 229.904 EM
9 -0.72941477D+03 0.0014085 0.0000019 272.014 229.986 EM
10 -0.72941434D+03 0.0004203 0.0000006 271.975 230.025 EM
11 -0.72941421D+03 0.0001309 0.0000002 271.956 230.044 EM
12 -0.72941417D+03 0.0000418 0.0000001 271.946 230.054 EM
13 -0.72941416D+03 0.0000135 0.0000000 271.941 230.059 EM
14 -0.72941415D+03 0.0000044 0.0000000 271.938 230.062 EM
15 -0.72941415D+03 0.0000015 0.0000000 271.937 230.063 EM
16 -0.72941415D+03 0.0000005 0.0000000 271.936 230.064 EM
17 -0.72941415D+03 0.0000002 0.0000000 271.935 230.065 EM
18 -0.72941415D+03 0.0000001 0.0000000 271.935 230.065 EM
19 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
20 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
21 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
22 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
23 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
5 -0.72953399D+03 0.4779804 0.0006548 273.645 228.355 EM
6 -0.72944147D+03 0.0925125 0.0001268 272.682 229.318 EM
7 -0.72942124D+03 0.0202364 0.0000277 272.275 229.725 EM
8 -0.72941617D+03 0.0050630 0.0000069 272.096 229.904 EM
9 -0.72941477D+03 0.0014085 0.0000019 272.014 229.986 EM
10 -0.72941434D+03 0.0004203 0.0000006 271.975 230.025 EM
11 -0.72941421D+03 0.0001309 0.0000002 271.956 230.044 EM
12 -0.72941417D+03 0.0000418 0.0000001 271.946 230.054 EM
13 -0.72941416D+03 0.0000135 0.0000000 271.941 230.059 EM
14 -0.72941415D+03 0.0000044 0.0000000 271.938 230.062 EM
15 -0.72941415D+03 0.0000015 0.0000000 271.937 230.063 EM
16 -0.72941415D+03 0.0000005 0.0000000 271.936 230.064 EM
17 -0.72941415D+03 0.0000002 0.0000000 271.935 230.065 EM
18 -0.72941415D+03 0.0000001 0.0000000 271.935 230.065 EM
19 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
20 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
21 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
22 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
23 -0.72941415D+03 0.0000000 0.0000000 271.935 230.065 EM
Beginning Time: 22:58:11
Ending Time: 22:58:11
Elapsed Time: 00:00:00
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