Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:24 PM
INPUT INSTRUCTIONS
title: this is an example of a MZ-DZ AE twin model
for a factor with multiple binary outcomes using
logit and ML and doing the 2 groups via 2 classes
montecarlo:
names = u11-u14 u21-u24 dz;
nobs = 4000;
generate = u11-u24(1) dz(1);
categorical = u11-dz;
genclasses = cdz(2);
classes = cdz(2);
nreps = 1;
save = ex7.29.dat;
model population:
%overall%
f1 by u11@1
u12-u14*1 (lam2-lam4);
f2 by u21@1
u22-u24*1 (lam2-lam4);
[f1-f2@0];
f1-f2*1 (var);
[u11$1-u14$1*0] (t1-t4);
[u21$1-u24$1*0] (t1-t4);
%cdz#1% ! mz class
[dz$1@15]; ! P(dz=1)=0
f1 WITH f2*.64(covmz);
%cdz#2% ! dz class
[dz$1@-15]; ! P(dz=1)=1
f1 WITH f2*.32(covdz);
analysis:
type = mixture;
algorithm = integration;
model:
%overall%
f1 by u11@1
u12-u14*1 (lam2-lam4);
f2 by u21@1
u22-u24*1 (lam2-lam4);
[f1-f2@0];
f1-f2*1 (var);
[u11$1-u14$1*0] (t1-t4);
[u21$1-u24$1*0] (t1-t4);
%cdz#1% ! mz class
[dz$1@15]; ! P(dz=1)=0
f1 WITH f2*.64(covmz);
%cdz#2% ! dz class
[dz$1@-15]; ! P(dz=1)=1
f1 WITH f2*.32(covdz);
model constraint:
NEW(a*.8 c*.3 e*.52 h*.64);
var = a**2 + c**2 + e**2;
covmz = a**2 + c**2;
covdz = 0.5*a**2 + c**2;
h = a**2/(a**2 + c**2 + e**2);
output:
tech8 tech9;
INPUT READING TERMINATED NORMALLY
this is an example of a MZ-DZ AE twin model
for a factor with multiple binary outcomes using
logit and ML and doing the 2 groups via 2 classes
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 4000
Number of replications
Requested 1
Completed 1
Value of seed 0
Number of dependent variables 9
Number of independent variables 0
Number of continuous latent variables 2
Number of categorical latent variables 1
Observed dependent variables
Binary and ordered categorical (ordinal)
U11 U12 U13 U14 U21 U22
U23 U24 DZ
Continuous latent variables
F1 F2
Categorical latent variables
CDZ
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 500
Convergence criteria
Loglikelihood change 0.100D-02
Relative loglikelihood change 0.100D-05
Derivative 0.100D-02
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-02
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-02
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
Integration Specifications
Type STANDARD
Number of integration points 15
Dimensions of numerical integration 2
Adaptive quadrature ON
Link LOGIT
Cholesky ON
MODEL FIT INFORMATION
Number of Free Parameters 11
Loglikelihood
H0 Value
Mean -24258.020
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -24258.020 -24258.020
0.980 0.000 -24258.020 -24258.020
0.950 0.000 -24258.020 -24258.020
0.900 0.000 -24258.020 -24258.020
0.800 0.000 -24258.020 -24258.020
0.700 0.000 -24258.020 -24258.020
0.500 0.000 -24258.020 -24258.020
0.300 0.000 -24258.020 -24258.020
0.200 0.000 -24258.020 -24258.020
0.100 0.000 -24258.020 -24258.020
0.050 0.000 -24258.020 -24258.020
0.020 0.000 -24258.020 -24258.020
0.010 0.000 -24258.020 -24258.020
Information Criteria
Akaike (AIC)
Mean 48538.040
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 48538.040 48538.040
0.980 0.000 48538.040 48538.040
0.950 0.000 48538.040 48538.040
0.900 0.000 48538.040 48538.040
0.800 0.000 48538.040 48538.040
0.700 0.000 48538.040 48538.040
0.500 0.000 48538.040 48538.040
0.300 0.000 48538.040 48538.040
0.200 0.000 48538.040 48538.040
0.100 0.000 48538.040 48538.040
0.050 0.000 48538.040 48538.040
0.020 0.000 48538.040 48538.040
0.010 0.000 48538.040 48538.040
Bayesian (BIC)
Mean 48607.275
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 48607.275 48607.275
0.980 0.000 48607.275 48607.275
0.950 0.000 48607.275 48607.275
0.900 0.000 48607.275 48607.275
0.800 0.000 48607.275 48607.275
0.700 0.000 48607.275 48607.275
0.500 0.000 48607.275 48607.275
0.300 0.000 48607.275 48607.275
0.200 0.000 48607.275 48607.275
0.100 0.000 48607.275 48607.275
0.050 0.000 48607.275 48607.275
0.020 0.000 48607.275 48607.275
0.010 0.000 48607.275 48607.275
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 48572.322
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 48572.322 48572.322
0.980 0.000 48572.322 48572.322
0.950 0.000 48572.322 48572.322
0.900 0.000 48572.322 48572.322
0.800 0.000 48572.322 48572.322
0.700 0.000 48572.322 48572.322
0.500 0.000 48572.322 48572.322
0.300 0.000 48572.322 48572.322
0.200 0.000 48572.322 48572.322
0.100 0.000 48572.322 48572.322
0.050 0.000 48572.322 48572.322
0.020 0.000 48572.322 48572.322
0.010 0.000 48572.322 48572.322
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Mean 465.492
Std Dev 0.000
Degrees of freedom 500
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 429.388 465.492
0.980 1.000 437.219 465.492
0.950 1.000 449.147 465.492
0.900 1.000 459.926 465.492
0.800 0.000 473.210 465.492
0.700 0.000 482.946 465.492
0.500 0.000 499.333 465.492
0.300 0.000 516.087 465.492
0.200 0.000 526.401 465.492
0.100 0.000 540.930 465.492
0.050 0.000 553.127 465.492
0.020 0.000 567.070 465.492
0.010 0.000 576.493 465.492
Likelihood Ratio Chi-Square
Mean 473.897
Std Dev 0.000
Degrees of freedom 500
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 429.388 473.897
0.980 1.000 437.219 473.897
0.950 1.000 449.147 473.897
0.900 1.000 459.926 473.897
0.800 1.000 473.210 473.897
0.700 0.000 482.946 473.897
0.500 0.000 499.333 473.897
0.300 0.000 516.087 473.897
0.200 0.000 526.401 473.897
0.100 0.000 540.930 473.897
0.050 0.000 553.127 473.897
0.020 0.000 567.070 473.897
0.010 0.000 576.493 473.897
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 2030.00002 0.50750
2 1969.99998 0.49250
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 2030.00002 0.50750
2 1969.99998 0.49250
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 2030 0.50750
2 1970 0.49250
CLASSIFICATION QUALITY
Entropy 1.000
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 1.000 0.000
2 0.000 1.000
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 1.000 0.000
2 0.000 1.000
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 13.816 0.000
2 -13.816 0.000
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Latent Class 1
F1 BY
U11 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U12 1.000 0.9695 0.0000 0.0753 0.0009 1.000 1.000
U13 1.000 0.9768 0.0000 0.0781 0.0005 1.000 1.000
U14 1.000 0.9321 0.0000 0.0758 0.0046 1.000 1.000
F2 BY
U21 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U22 1.000 0.9695 0.0000 0.0753 0.0009 1.000 1.000
U23 1.000 0.9768 0.0000 0.0781 0.0005 1.000 1.000
U24 1.000 0.9321 0.0000 0.0758 0.0046 1.000 1.000
F2 WITH
F1 0.640 0.6326 0.0000 0.0804 0.0001 1.000 1.000
Means
F1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
F2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Thresholds
U11$1 0.000 0.0278 0.0000 0.0282 0.0008 1.000 0.000
U12$1 0.000 0.0233 0.0000 0.0279 0.0005 1.000 0.000
U13$1 0.000 -0.0195 0.0000 0.0282 0.0004 1.000 0.000
U14$1 0.000 0.0278 0.0000 0.0278 0.0008 1.000 0.000
U21$1 0.000 0.0278 0.0000 0.0282 0.0008 1.000 0.000
U22$1 0.000 0.0233 0.0000 0.0279 0.0005 1.000 0.000
U23$1 0.000 -0.0195 0.0000 0.0282 0.0004 1.000 0.000
U24$1 0.000 0.0278 0.0000 0.0278 0.0008 1.000 0.000
DZ$1 15.000 15.0000 0.0000 0.0000 0.0000 1.000 0.000
Variances
F1 1.000 1.0409 0.0000 0.1123 0.0017 1.000 1.000
F2 1.000 1.0409 0.0000 0.1123 0.0017 1.000 1.000
Latent Class 2
F1 BY
U11 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U12 1.000 0.9695 0.0000 0.0753 0.0009 1.000 1.000
U13 1.000 0.9768 0.0000 0.0781 0.0005 1.000 1.000
U14 1.000 0.9321 0.0000 0.0758 0.0046 1.000 1.000
F2 BY
U21 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U22 1.000 0.9695 0.0000 0.0753 0.0009 1.000 1.000
U23 1.000 0.9768 0.0000 0.0781 0.0005 1.000 1.000
U24 1.000 0.9321 0.0000 0.0758 0.0046 1.000 1.000
F2 WITH
F1 0.320 0.3983 0.0000 0.0633 0.0061 1.000 1.000
Means
F1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
F2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Thresholds
U11$1 0.000 0.0278 0.0000 0.0282 0.0008 1.000 0.000
U12$1 0.000 0.0233 0.0000 0.0279 0.0005 1.000 0.000
U13$1 0.000 -0.0195 0.0000 0.0282 0.0004 1.000 0.000
U14$1 0.000 0.0278 0.0000 0.0278 0.0008 1.000 0.000
U21$1 0.000 0.0278 0.0000 0.0282 0.0008 1.000 0.000
U22$1 0.000 0.0233 0.0000 0.0279 0.0005 1.000 0.000
U23$1 0.000 -0.0195 0.0000 0.0282 0.0004 1.000 0.000
U24$1 0.000 0.0278 0.0000 0.0278 0.0008 1.000 0.000
DZ$1 -15.000 -15.0000 0.0000 0.0000 0.0000 1.000 0.000
Variances
F1 1.000 1.0409 0.0000 0.1123 0.0017 1.000 1.000
F2 1.000 1.0409 0.0000 0.1123 0.0017 1.000 1.000
Categorical Latent Variables
Means
CDZ#1 0.000 0.0300 0.0000 0.0316 0.0009 1.000 0.000
New/Additional Parameters
A 0.800 0.6845 0.0000 0.1087 0.0133 1.000 1.000
C 0.300 0.4050 0.0000 0.1386 0.0110 1.000 1.000
E 0.520 0.6390 0.0000 0.0526 0.0142 0.000 1.000
H 0.640 0.4501 0.0000 0.1331 0.0361 1.000 1.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.452E-03
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
NU
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
0 0 0 0 0
NU
U22 U23 U24 DZ
________ ________ ________ ________
0 0 0 0
LAMBDA
F1 F2
________ ________
U11 0 0
U12 1 0
U13 2 0
U14 3 0
U21 0 0
U22 0 1
U23 0 2
U24 0 3
DZ 0 0
THETA
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
U11 0
U12 0 0
U13 0 0 0
U14 0 0 0 0
U21 0 0 0 0 0
U22 0 0 0 0 0
U23 0 0 0 0 0
U24 0 0 0 0 0
DZ 0 0 0 0 0
THETA
U22 U23 U24 DZ
________ ________ ________ ________
U22 0
U23 0 0
U24 0 0 0
DZ 0 0 0 0
ALPHA
F1 F2
________ ________
0 0
BETA
F1 F2
________ ________
F1 0 0
F2 0 0
PSI
F1 F2
________ ________
F1 4
F2 5 4
PARAMETER SPECIFICATION FOR LATENT CLASS 2
NU
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
0 0 0 0 0
NU
U22 U23 U24 DZ
________ ________ ________ ________
0 0 0 0
LAMBDA
F1 F2
________ ________
U11 0 0
U12 1 0
U13 2 0
U14 3 0
U21 0 0
U22 0 1
U23 0 2
U24 0 3
DZ 0 0
THETA
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
U11 0
U12 0 0
U13 0 0 0
U14 0 0 0 0
U21 0 0 0 0 0
U22 0 0 0 0 0
U23 0 0 0 0 0
U24 0 0 0 0 0
DZ 0 0 0 0 0
THETA
U22 U23 U24 DZ
________ ________ ________ ________
U22 0
U23 0 0
U24 0 0 0
DZ 0 0 0 0
ALPHA
F1 F2
________ ________
0 0
BETA
F1 F2
________ ________
F1 0 0
F2 0 0
PSI
F1 F2
________ ________
F1 4
F2 6 4
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS 1
U11$1 U12$1 U13$1 U14$1 U21$1
________ ________ ________ ________ ________
7 8 9 10 7
TAU(U) FOR LATENT CLASS 1
U22$1 U23$1 U24$1 DZ$1
________ ________ ________ ________
8 9 10 0
TAU(U) FOR LATENT CLASS 2
U11$1 U12$1 U13$1 U14$1 U21$1
________ ________ ________ ________ ________
7 8 9 10 7
TAU(U) FOR LATENT CLASS 2
U22$1 U23$1 U24$1 DZ$1
________ ________ ________ ________
8 9 10 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CDZ#1 CDZ#2
________ ________
11 0
GAMMA(C)
F1 F2
________ ________
CDZ#1 0 0
CDZ#2 0 0
PARAMETER SPECIFICATION FOR THE ADDITIONAL PARAMETERS
NEW/ADDITIONAL PARAMETERS
A C E H
________ ________ ________ ________
12 13 14 15
STARTING VALUES FOR LATENT CLASS 1
NU
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
U22 U23 U24 DZ
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
F1 F2
________ ________
U11 1.000 0.000
U12 1.000 0.000
U13 1.000 0.000
U14 1.000 0.000
U21 0.000 1.000
U22 0.000 1.000
U23 0.000 1.000
U24 0.000 1.000
DZ 0.000 0.000
THETA
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
U11 1.000
U12 0.000 1.000
U13 0.000 0.000 1.000
U14 0.000 0.000 0.000 1.000
U21 0.000 0.000 0.000 0.000 1.000
U22 0.000 0.000 0.000 0.000 0.000
U23 0.000 0.000 0.000 0.000 0.000
U24 0.000 0.000 0.000 0.000 0.000
DZ 0.000 0.000 0.000 0.000 0.000
THETA
U22 U23 U24 DZ
________ ________ ________ ________
U22 1.000
U23 0.000 1.000
U24 0.000 0.000 1.000
DZ 0.000 0.000 0.000 1.000
ALPHA
F1 F2
________ ________
0.000 0.000
BETA
F1 F2
________ ________
F1 0.000 0.000
F2 0.000 0.000
PSI
F1 F2
________ ________
F1 1.000
F2 0.640 1.000
STARTING VALUES FOR LATENT CLASS 2
NU
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
U22 U23 U24 DZ
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
F1 F2
________ ________
U11 1.000 0.000
U12 1.000 0.000
U13 1.000 0.000
U14 1.000 0.000
U21 0.000 1.000
U22 0.000 1.000
U23 0.000 1.000
U24 0.000 1.000
DZ 0.000 0.000
THETA
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
U11 1.000
U12 0.000 1.000
U13 0.000 0.000 1.000
U14 0.000 0.000 0.000 1.000
U21 0.000 0.000 0.000 0.000 1.000
U22 0.000 0.000 0.000 0.000 0.000
U23 0.000 0.000 0.000 0.000 0.000
U24 0.000 0.000 0.000 0.000 0.000
DZ 0.000 0.000 0.000 0.000 0.000
THETA
U22 U23 U24 DZ
________ ________ ________ ________
U22 1.000
U23 0.000 1.000
U24 0.000 0.000 1.000
DZ 0.000 0.000 0.000 1.000
ALPHA
F1 F2
________ ________
0.000 0.000
BETA
F1 F2
________ ________
F1 0.000 0.000
F2 0.000 0.000
PSI
F1 F2
________ ________
F1 1.000
F2 0.320 1.000
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS 1
U11$1 U12$1 U13$1 U14$1 U21$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 1
U22$1 U23$1 U24$1 DZ$1
________ ________ ________ ________
0.000 0.000 0.000 15.000
TAU(U) FOR LATENT CLASS 2
U11$1 U12$1 U13$1 U14$1 U21$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 2
U22$1 U23$1 U24$1 DZ$1
________ ________ ________ ________
0.000 0.000 0.000 -15.000
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CDZ#1 CDZ#2
________ ________
0.000 0.000
GAMMA(C)
F1 F2
________ ________
CDZ#1 0.000 0.000
CDZ#2 0.000 0.000
STARTING VALUES FOR THE ADDITIONAL PARAMETERS
NEW/ADDITIONAL PARAMETERS
A C E H
________ ________ ________ ________
0.800 0.300 0.520 0.640
POPULATION VALUES FOR LATENT CLASS 1
NU
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
U22 U23 U24 DZ
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
F1 F2
________ ________
U11 1.000 0.000
U12 1.000 0.000
U13 1.000 0.000
U14 1.000 0.000
U21 0.000 1.000
U22 0.000 1.000
U23 0.000 1.000
U24 0.000 1.000
DZ 0.000 0.000
THETA
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
U11 0.000
U12 0.000 0.000
U13 0.000 0.000 0.000
U14 0.000 0.000 0.000 0.000
U21 0.000 0.000 0.000 0.000 0.000
U22 0.000 0.000 0.000 0.000 0.000
U23 0.000 0.000 0.000 0.000 0.000
U24 0.000 0.000 0.000 0.000 0.000
DZ 0.000 0.000 0.000 0.000 0.000
THETA
U22 U23 U24 DZ
________ ________ ________ ________
U22 0.000
U23 0.000 0.000
U24 0.000 0.000 0.000
DZ 0.000 0.000 0.000 0.000
ALPHA
F1 F2
________ ________
0.000 0.000
BETA
F1 F2
________ ________
F1 0.000 0.000
F2 0.000 0.000
PSI
F1 F2
________ ________
F1 1.000
F2 0.640 1.000
POPULATION VALUES FOR LATENT CLASS 2
NU
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
U22 U23 U24 DZ
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
F1 F2
________ ________
U11 1.000 0.000
U12 1.000 0.000
U13 1.000 0.000
U14 1.000 0.000
U21 0.000 1.000
U22 0.000 1.000
U23 0.000 1.000
U24 0.000 1.000
DZ 0.000 0.000
THETA
U11 U12 U13 U14 U21
________ ________ ________ ________ ________
U11 0.000
U12 0.000 0.000
U13 0.000 0.000 0.000
U14 0.000 0.000 0.000 0.000
U21 0.000 0.000 0.000 0.000 0.000
U22 0.000 0.000 0.000 0.000 0.000
U23 0.000 0.000 0.000 0.000 0.000
U24 0.000 0.000 0.000 0.000 0.000
DZ 0.000 0.000 0.000 0.000 0.000
THETA
U22 U23 U24 DZ
________ ________ ________ ________
U22 0.000
U23 0.000 0.000
U24 0.000 0.000 0.000
DZ 0.000 0.000 0.000 0.000
ALPHA
F1 F2
________ ________
0.000 0.000
BETA
F1 F2
________ ________
F1 0.000 0.000
F2 0.000 0.000
PSI
F1 F2
________ ________
F1 1.000
F2 0.320 1.000
POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS 1
U11$1 U12$1 U13$1 U14$1 U21$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 1
U22$1 U23$1 U24$1 DZ$1
________ ________ ________ ________
0.000 0.000 0.000 15.000
TAU(U) FOR LATENT CLASS 2
U11$1 U12$1 U13$1 U14$1 U21$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 2
U22$1 U23$1 U24$1 DZ$1
________ ________ ________ ________
0.000 0.000 0.000 -15.000
POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CDZ#1 CDZ#2
________ ________
0.000 0.000
GAMMA(C)
F1 F2
________ ________
CDZ#1 0.000 0.000
CDZ#2 0.000 0.000
TECHNICAL 8 OUTPUT
TECHNICAL 8 OUTPUT FOR REPLICATION 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.24265078D+05 0.0000000 0.0000000 EM
2 -0.24261726D+05 3.3524706 0.0001382 EM
3 -0.24261148D+05 0.5773320 0.0000238 EM
4 -0.24260817D+05 0.3316988 0.0000137 EM
5 -0.24260562D+05 0.2546298 0.0000105 EM
6 -0.24258283D+05 2.2789008 0.0000939 FS
7 -0.24258021D+05 0.2618752 0.0000108 FS
8 -0.24258020D+05 0.0010925 0.0000000 FS
9 -0.24258020D+05 0.0000034 0.0000000 FS
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
SAVEDATA INFORMATION
Order of variables
U11
U12
U13
U14
U21
U22
U23
U24
DZ
CDZ
Save file
ex7.29.dat
Save file format Free
Save file record length 10000
Beginning Time: 22:24:36
Ending Time: 22:24:38
Elapsed Time: 00:00:02
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