Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:23 PM
INPUT INSTRUCTIONS
title: this is an example of a 2-group twin model
montecarlo:
names = y1 y2;
ngroups = 2;
nobs = 1000 1000;
nreps = 1;
save = ex5.18.dat;
model population:
[y1-y2*0] (1);
y1-y2@0;
a1 BY y1*.8 (2);
a2 BY y2*.8 (2);
c1 BY y1*.3 (3);
c2 BY y2*.3 (3);
e1 BY y1*.52 (4);
e2 BY y2*.52 (4);
a1-e2@1;
[a1-e2@0];
a1 WITH a2@1; ! value for MZ twins
c1 WITH c2@1;
a1 WITH c1-e2@0;
a2 WITH c1-e2@0;
c1 WITH e1-e2@0;
c2 WITH e1-e2@0;
e1 WITH e2@0;
model population-g2:
a1 WITH a2@.5; ! Value for DZ twins
model:
[y1-y2*0] (1);
y1-y2@0;
a1 BY y1*.8 (2);
a2 BY y2*.8 (2);
c1 BY y1*.3 (3);
c2 BY y2*.3 (3);
e1 BY y1*.52 (4);
e2 BY y2*.52 (4);
a1-e2@1;
[a1-e2@0];
a1 WITH a2@1; ! value for MZ twins
c1 WITH c2@1;
a1 WITH c1-e2@0;
a2 WITH c1-e2@0;
c1 WITH e1-e2@0;
c2 WITH e1-e2@0;
e1 WITH e2@0;
model g2:
a1 WITH a2@.5; ! Value for DZ twins
output:
tech9;
INPUT READING TERMINATED NORMALLY
this is an example of a 2-group twin model
SUMMARY OF ANALYSIS
Number of groups 2
Number of observations
Group G1 1000
Group G2 1000
Total sample size 2000
Number of replications
Requested 1
Completed 1
Value of seed 0
Number of dependent variables 2
Number of independent variables 0
Number of continuous latent variables 6
Observed dependent variables
Continuous
Y1 Y2
Continuous latent variables
A1 A2 C1 C2 E1 E2
Estimator ML
Information matrix OBSERVED
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
SAMPLE STATISTICS FOR THE FIRST REPLICATION
SAMPLE STATISTICS FOR G1
Means
Y1 Y2
________ ________
0.013 0.035
Covariances
Y1 Y2
________ ________
Y1 0.992
Y2 0.759 1.056
Correlations
Y1 Y2
________ ________
Y1 1.000
Y2 0.741 1.000
SAMPLE STATISTICS FOR G2
Means
Y1 Y2
________ ________
-0.017 0.006
Covariances
Y1 Y2
________ ________
Y1 0.985
Y2 0.429 1.042
Correlations
Y1 Y2
________ ________
Y1 1.000
Y2 0.423 1.000
MODEL FIT INFORMATION
Number of Free Parameters 4
Loglikelihood
H0 Value
Mean -5217.340
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -5217.340 -5217.340
0.980 0.000 -5217.340 -5217.340
0.950 0.000 -5217.340 -5217.340
0.900 0.000 -5217.340 -5217.340
0.800 0.000 -5217.340 -5217.340
0.700 0.000 -5217.340 -5217.340
0.500 0.000 -5217.340 -5217.340
0.300 0.000 -5217.340 -5217.340
0.200 0.000 -5217.340 -5217.340
0.100 0.000 -5217.340 -5217.340
0.050 0.000 -5217.340 -5217.340
0.020 0.000 -5217.340 -5217.340
0.010 0.000 -5217.340 -5217.340
H1 Value
Mean -5214.760
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -5214.760 -5214.760
0.980 0.000 -5214.760 -5214.760
0.950 0.000 -5214.760 -5214.760
0.900 0.000 -5214.760 -5214.760
0.800 0.000 -5214.760 -5214.760
0.700 0.000 -5214.760 -5214.760
0.500 0.000 -5214.760 -5214.760
0.300 0.000 -5214.760 -5214.760
0.200 0.000 -5214.760 -5214.760
0.100 0.000 -5214.760 -5214.760
0.050 0.000 -5214.760 -5214.760
0.020 0.000 -5214.760 -5214.760
0.010 0.000 -5214.760 -5214.760
Information Criteria
Akaike (AIC)
Mean 10442.679
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 10442.679 10442.679
0.980 0.000 10442.679 10442.679
0.950 0.000 10442.679 10442.679
0.900 0.000 10442.679 10442.679
0.800 0.000 10442.679 10442.679
0.700 0.000 10442.679 10442.679
0.500 0.000 10442.679 10442.679
0.300 0.000 10442.679 10442.679
0.200 0.000 10442.679 10442.679
0.100 0.000 10442.679 10442.679
0.050 0.000 10442.679 10442.679
0.020 0.000 10442.679 10442.679
0.010 0.000 10442.679 10442.679
Bayesian (BIC)
Mean 10465.083
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 10465.083 10465.083
0.980 0.000 10465.083 10465.083
0.950 0.000 10465.083 10465.083
0.900 0.000 10465.083 10465.083
0.800 0.000 10465.083 10465.083
0.700 0.000 10465.083 10465.083
0.500 0.000 10465.083 10465.083
0.300 0.000 10465.083 10465.083
0.200 0.000 10465.083 10465.083
0.100 0.000 10465.083 10465.083
0.050 0.000 10465.083 10465.083
0.020 0.000 10465.083 10465.083
0.010 0.000 10465.083 10465.083
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 10452.375
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 10452.375 10452.375
0.980 0.000 10452.375 10452.375
0.950 0.000 10452.375 10452.375
0.900 0.000 10452.375 10452.375
0.800 0.000 10452.375 10452.375
0.700 0.000 10452.375 10452.375
0.500 0.000 10452.375 10452.375
0.300 0.000 10452.375 10452.375
0.200 0.000 10452.375 10452.375
0.100 0.000 10452.375 10452.375
0.050 0.000 10452.375 10452.375
0.020 0.000 10452.375 10452.375
0.010 0.000 10452.375 10452.375
Chi-Square Test of Model Fit
Degrees of freedom 6
Mean 5.160
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 0.872 5.160
0.980 1.000 1.134 5.160
0.950 1.000 1.635 5.160
0.900 1.000 2.204 5.160
0.800 1.000 3.070 5.160
0.700 1.000 3.828 5.160
0.500 0.000 5.348 5.160
0.300 0.000 7.231 5.160
0.200 0.000 8.558 5.160
0.100 0.000 10.645 5.160
0.050 0.000 12.592 5.160
0.020 0.000 15.033 5.160
0.010 0.000 16.812 5.160
RMSEA (Root Mean Square Error Of Approximation)
Mean 0.000
Std Dev 0.000
Number of successful computations 1
Cumulative Distribution Function
Value Function Value
0.990 1.000
0.980 1.000
0.950 1.000
0.900 1.000
0.800 1.000
0.700 1.000
0.500 1.000
0.300 1.000
0.200 1.000
0.100 1.000
0.050 1.000
0.020 1.000
0.010 1.000
CFI/TLI
CFI
Mean 1.000
Std Dev 0.000
Number of successful computations 1
Cumulative Distribution Function
Value Function Value
0.990 0.000
0.980 0.000
0.950 0.000
0.900 0.000
0.800 0.000
0.700 0.000
0.500 0.000
0.300 0.000
0.200 0.000
0.100 0.000
0.050 0.000
0.020 0.000
0.010 0.000
TLI
Mean 1.000
Std Dev 0.000
Number of successful computations 1
Cumulative Distribution Function
Value Function Value
0.990 0.000
0.980 0.000
0.950 0.000
0.900 0.000
0.800 0.000
0.700 0.000
0.500 0.000
0.300 0.000
0.200 0.000
0.100 0.000
0.050 0.000
0.020 0.000
0.010 0.000
SRMR (Standardized Root Mean Square Residual)
Mean 0.103
Std Dev 0.000
Number of successful computations 1
Cumulative Distribution Function
Value Function Value
0.990 1.000
0.980 1.000
0.950 1.000
0.900 1.000
0.800 1.000
0.700 1.000
0.500 1.000
0.300 1.000
0.200 1.000
0.100 0.000
0.050 0.000
0.020 0.000
0.010 0.000
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Group G1
A1 BY
Y1 0.800 0.8012 0.0000 0.0346 0.0000 1.000 1.000
A2 BY
Y2 0.800 0.8012 0.0000 0.0346 0.0000 1.000 1.000
C1 BY
Y1 0.300 0.3333 0.0000 0.0776 0.0011 1.000 1.000
C2 BY
Y2 0.300 0.3333 0.0000 0.0776 0.0011 1.000 1.000
E1 BY
Y1 0.520 0.5151 0.0000 0.0114 0.0000 1.000 1.000
E2 BY
Y2 0.520 0.5151 0.0000 0.0114 0.0000 1.000 1.000
A1 WITH
A2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
C1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C1 WITH
C2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 WITH
C2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 WITH
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 WITH
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Means
A1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Intercepts
Y1 0.000 0.0079 0.0000 0.0200 0.0001 1.000 0.000
Y2 0.000 0.0079 0.0000 0.0200 0.0001 1.000 0.000
Variances
A1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
C1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Residual Variances
Y1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Group G2
A1 BY
Y1 0.800 0.8012 0.0000 0.0346 0.0000 1.000 1.000
A2 BY
Y2 0.800 0.8012 0.0000 0.0346 0.0000 1.000 1.000
C1 BY
Y1 0.300 0.3333 0.0000 0.0776 0.0011 1.000 1.000
C2 BY
Y2 0.300 0.3333 0.0000 0.0776 0.0011 1.000 1.000
E1 BY
Y1 0.520 0.5151 0.0000 0.0114 0.0000 1.000 1.000
E2 BY
Y2 0.520 0.5151 0.0000 0.0114 0.0000 1.000 1.000
A1 WITH
A2 0.500 0.5000 0.0000 0.0000 0.0000 1.000 0.000
C1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C1 WITH
C2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 WITH
C2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 WITH
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 WITH
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Means
A1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Intercepts
Y1 0.000 0.0079 0.0000 0.0200 0.0001 1.000 0.000
Y2 0.000 0.0079 0.0000 0.0200 0.0001 1.000 0.000
Variances
A1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
A2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
C1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
C2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
E1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
E2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Residual Variances
Y1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.137E-01
(ratio of smallest to largest eigenvalue)
TECHNICAL OUTPUT
PARAMETER SPECIFICATION FOR G1
NU
Y1 Y2
________ ________
1 1
LAMBDA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
Y1 2 0 3 0 4
Y2 0 2 0 3 0
LAMBDA
E2
________
Y1 0
Y2 4
THETA
Y1 Y2
________ ________
Y1 0
Y2 0 0
ALPHA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
0 0 0 0 0
ALPHA
E2
________
0
BETA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0 0 0 0 0
A2 0 0 0 0 0
C1 0 0 0 0 0
C2 0 0 0 0 0
E1 0 0 0 0 0
E2 0 0 0 0 0
BETA
E2
________
A1 0
A2 0
C1 0
C2 0
E1 0
E2 0
PSI
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0
A2 0 0
C1 0 0 0
C2 0 0 0 0
E1 0 0 0 0 0
E2 0 0 0 0 0
PSI
E2
________
E2 0
PARAMETER SPECIFICATION FOR G2
NU
Y1 Y2
________ ________
1 1
LAMBDA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
Y1 2 0 3 0 4
Y2 0 2 0 3 0
LAMBDA
E2
________
Y1 0
Y2 4
THETA
Y1 Y2
________ ________
Y1 0
Y2 0 0
ALPHA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
0 0 0 0 0
ALPHA
E2
________
0
BETA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0 0 0 0 0
A2 0 0 0 0 0
C1 0 0 0 0 0
C2 0 0 0 0 0
E1 0 0 0 0 0
E2 0 0 0 0 0
BETA
E2
________
A1 0
A2 0
C1 0
C2 0
E1 0
E2 0
PSI
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0
A2 0 0
C1 0 0 0
C2 0 0 0 0
E1 0 0 0 0 0
E2 0 0 0 0 0
PSI
E2
________
E2 0
STARTING VALUES FOR G1
NU
Y1 Y2
________ ________
0.000 0.000
LAMBDA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
Y1 0.800 0.000 0.300 0.000 0.520
Y2 0.000 0.800 0.000 0.300 0.000
LAMBDA
E2
________
Y1 0.000
Y2 0.520
THETA
Y1 Y2
________ ________
Y1 0.000
Y2 0.000 0.000
ALPHA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
ALPHA
E2
________
0.000
BETA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0.000 0.000 0.000 0.000 0.000
A2 0.000 0.000 0.000 0.000 0.000
C1 0.000 0.000 0.000 0.000 0.000
C2 0.000 0.000 0.000 0.000 0.000
E1 0.000 0.000 0.000 0.000 0.000
E2 0.000 0.000 0.000 0.000 0.000
BETA
E2
________
A1 0.000
A2 0.000
C1 0.000
C2 0.000
E1 0.000
E2 0.000
PSI
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 1.000
A2 1.000 1.000
C1 0.000 0.000 1.000
C2 0.000 0.000 1.000 1.000
E1 0.000 0.000 0.000 0.000 1.000
E2 0.000 0.000 0.000 0.000 0.000
PSI
E2
________
E2 1.000
STARTING VALUES FOR G2
NU
Y1 Y2
________ ________
0.000 0.000
LAMBDA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
Y1 0.800 0.000 0.300 0.000 0.520
Y2 0.000 0.800 0.000 0.300 0.000
LAMBDA
E2
________
Y1 0.000
Y2 0.520
THETA
Y1 Y2
________ ________
Y1 0.000
Y2 0.000 0.000
ALPHA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
ALPHA
E2
________
0.000
BETA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0.000 0.000 0.000 0.000 0.000
A2 0.000 0.000 0.000 0.000 0.000
C1 0.000 0.000 0.000 0.000 0.000
C2 0.000 0.000 0.000 0.000 0.000
E1 0.000 0.000 0.000 0.000 0.000
E2 0.000 0.000 0.000 0.000 0.000
BETA
E2
________
A1 0.000
A2 0.000
C1 0.000
C2 0.000
E1 0.000
E2 0.000
PSI
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 1.000
A2 0.500 1.000
C1 0.000 0.000 1.000
C2 0.000 0.000 1.000 1.000
E1 0.000 0.000 0.000 0.000 1.000
E2 0.000 0.000 0.000 0.000 0.000
PSI
E2
________
E2 1.000
POPULATION VALUES FOR G1
NU
Y1 Y2
________ ________
0.000 0.000
LAMBDA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
Y1 0.800 0.000 0.300 0.000 0.520
Y2 0.000 0.800 0.000 0.300 0.000
LAMBDA
E2
________
Y1 0.000
Y2 0.520
THETA
Y1 Y2
________ ________
Y1 0.000
Y2 0.000 0.000
ALPHA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
ALPHA
E2
________
0.000
BETA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0.000 0.000 0.000 0.000 0.000
A2 0.000 0.000 0.000 0.000 0.000
C1 0.000 0.000 0.000 0.000 0.000
C2 0.000 0.000 0.000 0.000 0.000
E1 0.000 0.000 0.000 0.000 0.000
E2 0.000 0.000 0.000 0.000 0.000
BETA
E2
________
A1 0.000
A2 0.000
C1 0.000
C2 0.000
E1 0.000
E2 0.000
PSI
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 1.000
A2 1.000 1.000
C1 0.000 0.000 1.000
C2 0.000 0.000 1.000 1.000
E1 0.000 0.000 0.000 0.000 1.000
E2 0.000 0.000 0.000 0.000 0.000
PSI
E2
________
E2 1.000
POPULATION VALUES FOR G2
NU
Y1 Y2
________ ________
0.000 0.000
LAMBDA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
Y1 0.800 0.000 0.300 0.000 0.520
Y2 0.000 0.800 0.000 0.300 0.000
LAMBDA
E2
________
Y1 0.000
Y2 0.520
THETA
Y1 Y2
________ ________
Y1 0.000
Y2 0.000 0.000
ALPHA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
ALPHA
E2
________
0.000
BETA
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 0.000 0.000 0.000 0.000 0.000
A2 0.000 0.000 0.000 0.000 0.000
C1 0.000 0.000 0.000 0.000 0.000
C2 0.000 0.000 0.000 0.000 0.000
E1 0.000 0.000 0.000 0.000 0.000
E2 0.000 0.000 0.000 0.000 0.000
BETA
E2
________
A1 0.000
A2 0.000
C1 0.000
C2 0.000
E1 0.000
E2 0.000
PSI
A1 A2 C1 C2 E1
________ ________ ________ ________ ________
A1 1.000
A2 0.500 1.000
C1 0.000 0.000 1.000
C2 0.000 0.000 1.000 1.000
E1 0.000 0.000 0.000 0.000 1.000
E2 0.000 0.000 0.000 0.000 0.000
PSI
E2
________
E2 1.000
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
REPLICATION 1:
WARNING: THE LATENT VARIABLE COVARIANCE MATRIX (PSI) IN GROUP G1
IS NOT POSITIVE DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/
RESIDUAL VARIANCE FOR A LATENT VARIABLE, A CORRELATION GREATER OR EQUAL
TO ONE BETWEEN TWO LATENT VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE
THAN TWO LATENT VARIABLES. CHECK THE TECH4 OUTPUT FOR MORE INFORMATION.
PROBLEM INVOLVING VARIABLE A2.
REPLICATION 1:
WARNING: THE LATENT VARIABLE COVARIANCE MATRIX (PSI) IN GROUP G2
IS NOT POSITIVE DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/
RESIDUAL VARIANCE FOR A LATENT VARIABLE, A CORRELATION GREATER OR EQUAL
TO ONE BETWEEN TWO LATENT VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE
THAN TWO LATENT VARIABLES. CHECK THE TECH4 OUTPUT FOR MORE INFORMATION.
PROBLEM INVOLVING VARIABLE C2.
SAVEDATA INFORMATION
Order of variables
Y1
Y2
GROUP
Save file
ex5.18.dat
Save file format Free
Save file record length 10000
Beginning Time: 22:23:03
Ending Time: 22:23:04
Elapsed Time: 00:00:01
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