Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:20 PM
INPUT INSTRUCTIONS
title:
monte carlo for two-level CFA mixture model
with continuous factor indicators
montecarlo:
names are y1-y5;
nobservations = 1000;
ncsizes = 3;
csizes = 40 (5) 50 (10) 20 (15);
genclasses = c(2);
classes = c(2);
seed = 3454367;
nrep = 1;
save = ex10.4.dat;
analysis:
type = twolevel mixture;
model population:
%within%
%overall%
[c#1*0];
y1-y5*.25;
fw by y1@1
y2*.8
y3*.8
y4*.8
y5*.8;
fw*1;
%between%
%overall%
fb by y1@1
y2*.8
y3*.8
y4*.8
y5*.8;
[fb@0];
fb*.5;
c#1*1;
! Possible model alternatives:
! fb with c#1*.5; ! this model is allowed
! fb on c#1*.5; ! this model is allowed
! c#1 on fb*.5; ! this model is not internally consistent
! (reciprocity problem) and is disallowed
%c#1%
[fb*2];
model:
%within%
%overall%
[c#1*0];
y1-y5*.25;
fw by y1@1
y2*.8
y3*.8
y4*.8
y5*.8;
fw*1;
%between%
%overall%
fb by y1@1
y2*.8
y3*.8
y4*.8
y5*.8;
[fb@0];
fb*.5;
c#1*1;
! Possible model alternatives:
! fb with c#1*.5; ! this model is allowed
! fb on c#1*.5; ! this model is allowed
! c#1 on fb*.5; ! this model is not internally consistent
! (reciprocity problem) and is disallowed
%c#1%
[fb*2];
output:
tech8 tech9;
INPUT READING TERMINATED NORMALLY
monte carlo for two-level CFA mixture model
with continuous factor indicators
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1000
Number of replications
Requested 1
Completed 1
Value of seed 3454367
Number of dependent variables 5
Number of independent variables 0
Number of continuous latent variables 2
Number of categorical latent variables 1
Observed dependent variables
Continuous
Y1 Y2 Y3 Y4 Y5
Continuous latent variables
FW FB
Categorical latent variables
C
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
Cholesky OFF
SUMMARY OF DATA FOR THE FIRST REPLICATION
Cluster information
Size (s) Number of clusters of Size s
5 40
10 50
15 20
SAMPLE STATISTICS FOR THE FIRST REPLICATION
SAMPLE STATISTICS
Means
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
1.081 0.836 0.833 0.856 0.820
Covariances
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 2.601
Y2 1.879 1.746
Y3 1.839 1.472 1.707
Y4 1.822 1.455 1.433 1.655
Y5 1.833 1.470 1.466 1.426 1.712
Correlations
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1.000
Y2 0.882 1.000
Y3 0.873 0.852 1.000
Y4 0.878 0.856 0.853 1.000
Y5 0.869 0.850 0.857 0.847 1.000
MODEL FIT INFORMATION
Number of Free Parameters 23
Loglikelihood
H0 Value
Mean -5334.229
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -5334.229 -5334.229
0.980 0.000 -5334.229 -5334.229
0.950 0.000 -5334.229 -5334.229
0.900 0.000 -5334.229 -5334.229
0.800 0.000 -5334.229 -5334.229
0.700 0.000 -5334.229 -5334.229
0.500 0.000 -5334.229 -5334.229
0.300 0.000 -5334.229 -5334.229
0.200 0.000 -5334.229 -5334.229
0.100 0.000 -5334.229 -5334.229
0.050 0.000 -5334.229 -5334.229
0.020 0.000 -5334.229 -5334.229
0.010 0.000 -5334.229 -5334.229
Information Criteria
Akaike (AIC)
Mean 10714.458
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 10714.458 10714.458
0.980 0.000 10714.458 10714.458
0.950 0.000 10714.458 10714.458
0.900 0.000 10714.458 10714.458
0.800 0.000 10714.458 10714.458
0.700 0.000 10714.458 10714.458
0.500 0.000 10714.458 10714.458
0.300 0.000 10714.458 10714.458
0.200 0.000 10714.458 10714.458
0.100 0.000 10714.458 10714.458
0.050 0.000 10714.458 10714.458
0.020 0.000 10714.458 10714.458
0.010 0.000 10714.458 10714.458
Bayesian (BIC)
Mean 10827.337
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 10827.337 10827.337
0.980 0.000 10827.337 10827.337
0.950 0.000 10827.337 10827.337
0.900 0.000 10827.337 10827.337
0.800 0.000 10827.337 10827.337
0.700 0.000 10827.337 10827.337
0.500 0.000 10827.337 10827.337
0.300 0.000 10827.337 10827.337
0.200 0.000 10827.337 10827.337
0.100 0.000 10827.337 10827.337
0.050 0.000 10827.337 10827.337
0.020 0.000 10827.337 10827.337
0.010 0.000 10827.337 10827.337
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 10754.288
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 10754.288 10754.288
0.980 0.000 10754.288 10754.288
0.950 0.000 10754.288 10754.288
0.900 0.000 10754.288 10754.288
0.800 0.000 10754.288 10754.288
0.700 0.000 10754.288 10754.288
0.500 0.000 10754.288 10754.288
0.300 0.000 10754.288 10754.288
0.200 0.000 10754.288 10754.288
0.100 0.000 10754.288 10754.288
0.050 0.000 10754.288 10754.288
0.020 0.000 10754.288 10754.288
0.010 0.000 10754.288 10754.288
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 505.40396 0.50540
2 494.59604 0.49460
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 505 0.50500
2 495 0.49500
CLASSIFICATION QUALITY
Entropy 0.537
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.862 0.138
2 0.141 0.859
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.861 0.139
2 0.141 0.859
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 1.828 0.000
2 -1.809 0.000
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Within Level
Latent Class 1
FW BY
Y1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y2 0.800 0.8580 0.0000 0.0449 0.0034 1.000 1.000
Y3 0.800 0.7214 0.0000 0.0383 0.0062 0.000 1.000
Y4 0.800 0.7943 0.0000 0.0429 0.0000 1.000 1.000
Y5 0.800 0.7453 0.0000 0.0411 0.0030 1.000 1.000
Variances
FW 1.000 0.7822 0.0000 0.0962 0.0474 0.000 1.000
Residual Variances
Y1 0.250 0.2632 0.0000 0.0184 0.0002 1.000 1.000
Y2 0.250 0.2397 0.0000 0.0148 0.0001 1.000 1.000
Y3 0.250 0.2456 0.0000 0.0130 0.0000 1.000 1.000
Y4 0.250 0.2417 0.0000 0.0139 0.0001 1.000 1.000
Y5 0.250 0.2643 0.0000 0.0128 0.0002 1.000 1.000
Latent Class 2
FW BY
Y1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y2 0.800 0.8580 0.0000 0.0449 0.0034 1.000 1.000
Y3 0.800 0.7214 0.0000 0.0383 0.0062 0.000 1.000
Y4 0.800 0.7943 0.0000 0.0429 0.0000 1.000 1.000
Y5 0.800 0.7453 0.0000 0.0411 0.0030 1.000 1.000
Variances
FW 1.000 0.7822 0.0000 0.0962 0.0474 0.000 1.000
Residual Variances
Y1 0.250 0.2632 0.0000 0.0184 0.0002 1.000 1.000
Y2 0.250 0.2397 0.0000 0.0148 0.0001 1.000 1.000
Y3 0.250 0.2456 0.0000 0.0130 0.0000 1.000 1.000
Y4 0.250 0.2417 0.0000 0.0139 0.0001 1.000 1.000
Y5 0.250 0.2643 0.0000 0.0128 0.0002 1.000 1.000
Between Level
Latent Class 1
FB BY
Y1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y2 0.800 0.7733 0.0000 0.0244 0.0007 1.000 1.000
Y3 0.800 0.8234 0.0000 0.0242 0.0005 1.000 1.000
Y4 0.800 0.7688 0.0000 0.0227 0.0010 1.000 1.000
Y5 0.800 0.8071 0.0000 0.0253 0.0001 1.000 1.000
Means
FB 2.000 2.1771 0.0000 0.1197 0.0314 1.000 1.000
Intercepts
Y1 0.000 -0.0237 0.0000 0.1157 0.0006 1.000 0.000
Y2 0.000 -0.0184 0.0000 0.0915 0.0003 1.000 0.000
Y3 0.000 -0.0764 0.0000 0.0948 0.0058 1.000 0.000
Y4 0.000 0.0074 0.0000 0.0888 0.0001 1.000 0.000
Y5 0.000 -0.0710 0.0000 0.0960 0.0050 1.000 0.000
Variances
FB 0.500 0.4111 0.0000 0.0970 0.0079 1.000 1.000
Latent Class 2
FB BY
Y1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y2 0.800 0.7733 0.0000 0.0244 0.0007 1.000 1.000
Y3 0.800 0.8234 0.0000 0.0242 0.0005 1.000 1.000
Y4 0.800 0.7688 0.0000 0.0227 0.0010 1.000 1.000
Y5 0.800 0.8071 0.0000 0.0253 0.0001 1.000 1.000
Means
FB 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Intercepts
Y1 0.000 -0.0237 0.0000 0.1157 0.0006 1.000 0.000
Y2 0.000 -0.0184 0.0000 0.0915 0.0003 1.000 0.000
Y3 0.000 -0.0764 0.0000 0.0948 0.0058 1.000 0.000
Y4 0.000 0.0074 0.0000 0.0888 0.0001 1.000 0.000
Y5 0.000 -0.0710 0.0000 0.0960 0.0050 1.000 0.000
Variances
FB 0.500 0.4111 0.0000 0.0970 0.0079 1.000 1.000
Categorical Latent Variables
Within Level
Means
C#1 0.000 0.0470 0.0000 0.2055 0.0022 1.000 0.000
Between Level
Variances
C#1 1.000 0.9661 0.0000 0.3721 0.0012 1.000 1.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.215E-04
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR WITHIN LEVEL, LATENT CLASS 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0 0 0
Y2 1 0 0
Y3 2 0 0
Y4 3 0 0
Y5 4 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 5
Y2 0 6
Y3 0 0 7
Y4 0 0 0 8
Y5 0 0 0 0 9
ALPHA
FW C#1 FB
________ ________ ________
0 0 0
BETA
FW C#1 FB
________ ________ ________
FW 0 0 0
C#1 0 0 0
FB 0 0 0
PSI
FW C#1 FB
________ ________ ________
FW 10
C#1 0 0
FB 0 0 0
PARAMETER SPECIFICATION FOR WITHIN LEVEL, LATENT CLASS 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0 0 0
Y2 1 0 0
Y3 2 0 0
Y4 3 0 0
Y5 4 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 5
Y2 0 6
Y3 0 0 7
Y4 0 0 0 8
Y5 0 0 0 0 9
ALPHA
FW C#1 FB
________ ________ ________
0 0 0
BETA
FW C#1 FB
________ ________ ________
FW 0 0 0
C#1 0 0 0
FB 0 0 0
PSI
FW C#1 FB
________ ________ ________
FW 10
C#1 0 0
FB 0 0 0
PARAMETER SPECIFICATION FOR BETWEEN LEVEL, LATENT CLASS 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
11 12 13 14 15
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0 0 0
Y2 0 0 16
Y3 0 0 17
Y4 0 0 18
Y5 0 0 19
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0
Y2 0 0
Y3 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0 0
ALPHA
FW C#1 FB
________ ________ ________
0 0 20
BETA
FW C#1 FB
________ ________ ________
FW 0 0 0
C#1 0 0 0
FB 0 0 0
PSI
FW C#1 FB
________ ________ ________
FW 0
C#1 0 21
FB 0 0 22
PARAMETER SPECIFICATION FOR BETWEEN LEVEL, LATENT CLASS 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
11 12 13 14 15
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0 0 0
Y2 0 0 16
Y3 0 0 17
Y4 0 0 18
Y5 0 0 19
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0
Y2 0 0
Y3 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0 0
ALPHA
FW C#1 FB
________ ________ ________
0 0 0
BETA
FW C#1 FB
________ ________ ________
FW 0 0 0
C#1 0 0 0
FB 0 0 0
PSI
FW C#1 FB
________ ________ ________
FW 0
C#1 0 21
FB 0 0 22
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
23 0
GAMMA(C)
FW C#1 FB
________ ________ ________
C#1 0 0 0
C#2 0 0 0
STARTING VALUES FOR WITHIN LEVEL, LATENT CLASS 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 1.000 0.000 0.000
Y2 0.800 0.000 0.000
Y3 0.800 0.000 0.000
Y4 0.800 0.000 0.000
Y5 0.800 0.000 0.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.250
Y2 0.000 0.250
Y3 0.000 0.000 0.250
Y4 0.000 0.000 0.000 0.250
Y5 0.000 0.000 0.000 0.000 0.250
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 0.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 1.000
C#1 0.000 0.000
FB 0.000 0.000 0.000
STARTING VALUES FOR WITHIN LEVEL, LATENT CLASS 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 1.000 0.000 0.000
Y2 0.800 0.000 0.000
Y3 0.800 0.000 0.000
Y4 0.800 0.000 0.000
Y5 0.800 0.000 0.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.250
Y2 0.000 0.250
Y3 0.000 0.000 0.250
Y4 0.000 0.000 0.000 0.250
Y5 0.000 0.000 0.000 0.000 0.250
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 0.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 1.000
C#1 0.000 0.000
FB 0.000 0.000 0.000
STARTING VALUES FOR BETWEEN LEVEL, LATENT CLASS 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0.000 0.000 1.000
Y2 0.000 0.000 0.800
Y3 0.000 0.000 0.800
Y4 0.000 0.000 0.800
Y5 0.000 0.000 0.800
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.000
Y2 0.000 0.000
Y3 0.000 0.000 0.000
Y4 0.000 0.000 0.000 0.000
Y5 0.000 0.000 0.000 0.000 0.000
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 2.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 0.000
C#1 0.000 1.000
FB 0.000 0.000 0.500
STARTING VALUES FOR BETWEEN LEVEL, LATENT CLASS 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0.000 0.000 1.000
Y2 0.000 0.000 0.800
Y3 0.000 0.000 0.800
Y4 0.000 0.000 0.800
Y5 0.000 0.000 0.800
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.000
Y2 0.000 0.000
Y3 0.000 0.000 0.000
Y4 0.000 0.000 0.000 0.000
Y5 0.000 0.000 0.000 0.000 0.000
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 0.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 0.000
C#1 0.000 1.000
FB 0.000 0.000 0.500
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
FW C#1 FB
________ ________ ________
C#1 0.000 0.000 0.000
C#2 0.000 0.000 0.000
POPULATION VALUES FOR WITHIN LEVEL, LATENT CLASS 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 1.000 0.000 0.000
Y2 0.800 0.000 0.000
Y3 0.800 0.000 0.000
Y4 0.800 0.000 0.000
Y5 0.800 0.000 0.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.250
Y2 0.000 0.250
Y3 0.000 0.000 0.250
Y4 0.000 0.000 0.000 0.250
Y5 0.000 0.000 0.000 0.000 0.250
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 0.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 1.000
C#1 0.000 0.000
FB 0.000 0.000 0.000
POPULATION VALUES FOR WITHIN LEVEL, LATENT CLASS 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 1.000 0.000 0.000
Y2 0.800 0.000 0.000
Y3 0.800 0.000 0.000
Y4 0.800 0.000 0.000
Y5 0.800 0.000 0.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.250
Y2 0.000 0.250
Y3 0.000 0.000 0.250
Y4 0.000 0.000 0.000 0.250
Y5 0.000 0.000 0.000 0.000 0.250
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 0.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 1.000
C#1 0.000 0.000
FB 0.000 0.000 0.000
POPULATION VALUES FOR BETWEEN LEVEL, LATENT CLASS 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0.000 0.000 1.000
Y2 0.000 0.000 0.800
Y3 0.000 0.000 0.800
Y4 0.000 0.000 0.800
Y5 0.000 0.000 0.800
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.000
Y2 0.000 0.000
Y3 0.000 0.000 0.000
Y4 0.000 0.000 0.000 0.000
Y5 0.000 0.000 0.000 0.000 0.000
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 2.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 0.000
C#1 0.000 1.000
FB 0.000 0.000 0.500
POPULATION VALUES FOR BETWEEN LEVEL, LATENT CLASS 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
FW C#1 FB
________ ________ ________
Y1 0.000 0.000 1.000
Y2 0.000 0.000 0.800
Y3 0.000 0.000 0.800
Y4 0.000 0.000 0.800
Y5 0.000 0.000 0.800
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.000
Y2 0.000 0.000
Y3 0.000 0.000 0.000
Y4 0.000 0.000 0.000 0.000
Y5 0.000 0.000 0.000 0.000 0.000
ALPHA
FW C#1 FB
________ ________ ________
0.000 0.000 0.000
BETA
FW C#1 FB
________ ________ ________
FW 0.000 0.000 0.000
C#1 0.000 0.000 0.000
FB 0.000 0.000 0.000
PSI
FW C#1 FB
________ ________ ________
FW 0.000
C#1 0.000 1.000
FB 0.000 0.000 0.500
POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
FW C#1 FB
________ ________ ________
C#1 0.000 0.000 0.000
C#2 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
TECHNICAL 8 OUTPUT FOR REPLICATION 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.53490783D+04 0.0000000 0.0000000 EM
2 -0.53395275D+04 9.5507973 0.0017855 EM
3 -0.53381381D+04 1.3894019 0.0002602 EM
4 -0.53371584D+04 0.9797025 0.0001835 EM
5 -0.53364275D+04 0.7308496 0.0001369 EM
6 -0.53358735D+04 0.5540493 0.0001038 EM
7 -0.53354519D+04 0.4215351 0.0000790 EM
8 -0.53351323D+04 0.3196871 0.0000599 EM
9 -0.53348915D+04 0.2407502 0.0000451 EM
10 -0.53347118D+04 0.1797171 0.0000337 EM
11 -0.53345789D+04 0.1329284 0.0000249 EM
12 -0.53344814D+04 0.0974754 0.0000183 EM
13 -0.53344104D+04 0.0709410 0.0000133 EM
14 -0.53343591D+04 0.0513153 0.0000096 EM
15 -0.53343222D+04 0.0369509 0.0000069 EM
16 -0.53342957D+04 0.0265292 0.0000050 EM
17 -0.53342766D+04 0.0190204 0.0000036 EM
18 -0.53342630D+04 0.0136387 0.0000026 EM
19 -0.53342532D+04 0.0097940 0.0000018 EM
20 -0.53342461D+04 0.0070525 0.0000013 EM
21 -0.53342410D+04 0.0050985 0.0000010 EM
22 -0.53342373D+04 0.0037050 0.0000007 EM
23 -0.53342346D+04 0.0027084 0.0000005 EM
24 -0.53342326D+04 0.0019934 0.0000004 EM
25 -0.53342312D+04 0.0014784 0.0000003 EM
26 -0.53342301D+04 0.0011054 0.0000002 EM
27 -0.53342292D+04 0.0008336 0.0000002 EM
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
SAVEDATA INFORMATION
Order of variables
Y1
Y2
Y3
Y4
Y5
C
CLUSTER
Save file
ex10.4.dat
Save file format Free
Save file record length 10000
Beginning Time: 22:20:14
Ending Time: 22:20:18
Elapsed Time: 00:00:04
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