Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:24 PM
INPUT INSTRUCTIONS
TITLE: this is an example of LTA with a
continuous covariate
MONTECARLO:
NAMES = u11-u15 u21-u25 x;
GENERATE = u11-u15 u21-u25(1);
CATEGORICAL = u11-u15 u21-u25;
GENCLASSES = c1(3) c2(3);
CLASSES = c1(3) c2(3);
NOBSERVATION = 2000;
NREPS = 1;
save = ex8.14.dat;
ANALYSIS:
TYPE=MIXTURE;
MODEL POPULATION:
%OVERALL%
[x@0]; x@1;
c1#1 on x*1.5; c1#2 on x*-0.5;
c2#1 on c1#1*0.5; c2#2 on c1#1*0.2;
c2#1 on c1#2*0.2; c2#2 on c1#2*0.3;
MODEL POPULATION-c1:
%c1#1%
! parameterization 2 in Mplus Web Note 13
c2#1 ON x*-0.5; c2#2 ON x*1.5;
[u11$1*1] (1);
[u12$1*1] (2);
[u13$1*1] (3);
[u14$1*1] (4);
[u15$1*1] (5);
%c1#2%
c2#1 ON x*1.5; c2#2 ON x*-0.5;
[u11$1*1] (6);
[u12$1*1] (7);
[u13$1*-1] (8);
[u14$1*-1] (9);
[u15$1*-1] (10);
%c1#3%
c2#1 ON x*0.8; c2#2 ON x*-0.8;
[u11$1*-1] (11);
[u12$1*-1] (12);
[u13$1*-1] (13);
[u14$1*-1] (14);
[u15$1*-1] (15);
MODEL POPULATION-c2:
%c2#1%
[u21$1*1] (1);
[u22$1*1] (2);
[u23$1*1] (3);
[u24$1*1] (4);
[u25$1*1] (5);
%c2#2%
[u21$1*1] (6);
[u22$1*1] (7);
[u23$1*-1] (8);
[u24$1*-1] (9);
[u25$1*-1] (10);
%c2#3%
[u21$1*-1] (11);
[u22$1*-1] (12);
[u23$1*-1] (13);
[u24$1*-1] (14);
[u25$1*-1] (15);
MODEL:
%OVERALL%
c1#1 on x*1.5; c1#2 on x*-0.5;
c2#1 on c1#1*0.5; c2#2 on c1#1*0.2;
c2#1 on c1#2*0.2; c2#2 on c1#2*0.3;
MODEL c1:
%c1#1%
! parameterization 2 in Mplus Web Note 13
c2#1 ON x*-0.5; c2#2 ON x*1.5;
[u11$1*1] (1);
[u12$1*1] (2);
[u13$1*1] (3);
[u14$1*1] (4);
[u15$1*1] (5);
%c1#2%
c2#1 ON x*1.5; c2#2 ON x*-0.5;
[u11$1*1] (6);
[u12$1*1] (7);
[u13$1*-1] (8);
[u14$1*-1] (9);
[u15$1*-1] (10);
%c1#3%
c2#1 ON x*0.8; c2#2 ON x*-0.8;
[u11$1*-1] (11);
[u12$1*-1] (12);
[u13$1*-1] (13);
[u14$1*-1] (14);
[u15$1*-1] (15);
MODEL c2:
%c2#1%
[u21$1*1] (1);
[u22$1*1] (2);
[u23$1*1] (3);
[u24$1*1] (4);
[u25$1*1] (5);
%c2#2%
[u21$1*1] (6);
[u22$1*1] (7);
[u23$1*-1] (8);
[u24$1*-1] (9);
[u25$1*-1] (10);
%c2#3%
[u21$1*-1] (11);
[u22$1*-1] (12);
[u23$1*-1] (13);
[u24$1*-1] (14);
[u25$1*-1] (15);
OUTPUT: TECH9;
INPUT READING TERMINATED NORMALLY
this is an example of LTA with a
continuous covariate
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 2000
Number of replications
Requested 1
Completed 1
Value of seed 0
Number of dependent variables 10
Number of independent variables 1
Number of continuous latent variables 0
Number of categorical latent variables 2
Observed dependent variables
Binary and ordered categorical (ordinal)
U11 U12 U13 U14 U15 U21
U22 U23 U24 U25
Observed independent variables
X
Categorical latent variables
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 500
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
Parameterization LOGIT
Link LOGIT
SAMPLE STATISTICS FOR THE FIRST REPLICATION
SAMPLE STATISTICS
Means
X
________
0.025
Covariances
X
________
X 1.006
Correlations
X
________
X 1.000
MODEL FIT INFORMATION
Number of Free Parameters 31
Loglikelihood
H0 Value
Mean -12902.140
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -12902.140 -12902.140
0.980 0.000 -12902.140 -12902.140
0.950 0.000 -12902.140 -12902.140
0.900 0.000 -12902.140 -12902.140
0.800 0.000 -12902.140 -12902.140
0.700 0.000 -12902.140 -12902.140
0.500 0.000 -12902.140 -12902.140
0.300 0.000 -12902.140 -12902.140
0.200 0.000 -12902.140 -12902.140
0.100 0.000 -12902.140 -12902.140
0.050 0.000 -12902.140 -12902.140
0.020 0.000 -12902.140 -12902.140
0.010 0.000 -12902.140 -12902.140
Information Criteria
Akaike (AIC)
Mean 25866.281
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 25866.281 25866.281
0.980 0.000 25866.281 25866.281
0.950 0.000 25866.281 25866.281
0.900 0.000 25866.281 25866.281
0.800 0.000 25866.281 25866.281
0.700 0.000 25866.281 25866.281
0.500 0.000 25866.281 25866.281
0.300 0.000 25866.281 25866.281
0.200 0.000 25866.281 25866.281
0.100 0.000 25866.281 25866.281
0.050 0.000 25866.281 25866.281
0.020 0.000 25866.281 25866.281
0.010 0.000 25866.281 25866.281
Bayesian (BIC)
Mean 26039.909
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 26039.909 26039.909
0.980 0.000 26039.909 26039.909
0.950 0.000 26039.909 26039.909
0.900 0.000 26039.909 26039.909
0.800 0.000 26039.909 26039.909
0.700 0.000 26039.909 26039.909
0.500 0.000 26039.909 26039.909
0.300 0.000 26039.909 26039.909
0.200 0.000 26039.909 26039.909
0.100 0.000 26039.909 26039.909
0.050 0.000 26039.909 26039.909
0.020 0.000 26039.909 26039.909
0.010 0.000 26039.909 26039.909
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 25941.420
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 25941.420 25941.420
0.980 0.000 25941.420 25941.420
0.950 0.000 25941.420 25941.420
0.900 0.000 25941.420 25941.420
0.800 0.000 25941.420 25941.420
0.700 0.000 25941.420 25941.420
0.500 0.000 25941.420 25941.420
0.300 0.000 25941.420 25941.420
0.200 0.000 25941.420 25941.420
0.100 0.000 25941.420 25941.420
0.050 0.000 25941.420 25941.420
0.020 0.000 25941.420 25941.420
0.010 0.000 25941.420 25941.420
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Mean 1028.523
Std Dev 0.000
Degrees of freedom 1000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 898.912 1028.523
0.980 1.000 910.313 1028.523
0.950 1.000 927.594 1028.523
0.900 1.000 943.133 1028.523
0.800 1.000 962.180 1028.523
0.700 1.000 976.074 1028.523
0.500 1.000 999.333 1028.523
0.300 1.000 1022.960 1028.523
0.200 0.000 1037.431 1028.523
0.100 0.000 1057.724 1028.523
0.050 0.000 1074.679 1028.523
0.020 0.000 1093.977 1028.523
0.010 0.000 1106.969 1028.523
Likelihood Ratio Chi-Square
Mean 1102.232
Std Dev 0.000
Degrees of freedom 1000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 898.912 1102.232
0.980 1.000 910.313 1102.232
0.950 1.000 927.594 1102.232
0.900 1.000 943.133 1102.232
0.800 1.000 962.180 1102.232
0.700 1.000 976.074 1102.232
0.500 1.000 999.333 1102.232
0.300 1.000 1022.960 1102.232
0.200 1.000 1037.431 1102.232
0.100 1.000 1057.724 1102.232
0.050 1.000 1074.679 1102.232
0.020 1.000 1093.977 1102.232
0.010 0.000 1106.969 1102.232
MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER
C1 C2
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THE ESTIMATED MODEL
Latent Class
Pattern
1 1 188.25975 0.09413
1 2 440.63104 0.22032
1 3 95.89525 0.04795
2 1 129.04361 0.06452
2 2 455.01079 0.22751
2 3 165.41091 0.08271
3 1 158.58711 0.07929
3 2 237.07051 0.11854
3 3 130.09103 0.06505
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
C1 1 724.78607 0.36239
2 749.46527 0.37473
3 525.74866 0.26287
C2 1 475.89044 0.23795
2 1132.71240 0.56636
3 391.39719 0.19570
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
C1 Classes (Rows) by C2 Classes (Columns)
1 2 3
1 0.422 0.431 0.147
2 0.339 0.456 0.205
3 0.359 0.398 0.242
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Pattern
1 1 188.26402 0.09413
1 2 440.67450 0.22034
1 3 95.84733 0.04792
2 1 128.83809 0.06442
2 2 455.21721 0.22761
2 3 165.40881 0.08270
3 1 158.65256 0.07933
3 2 236.77495 0.11839
3 3 130.32251 0.06516
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Variable Class
C1 1 724.78589 0.36239
2 749.46411 0.37473
3 525.75000 0.26288
C2 1 475.75467 0.23788
2 1132.66663 0.56633
3 391.57867 0.19579
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Class Counts and Proportions
Latent Class
Pattern
1 1 204 0.10200
1 2 467 0.23350
1 3 82 0.04100
2 1 112 0.05600
2 2 539 0.26950
2 3 148 0.07400
3 1 143 0.07150
3 2 206 0.10300
3 3 99 0.04950
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Latent Class
Variable Class
C1 1 753 0.37650
2 799 0.39950
3 448 0.22400
C2 1 459 0.22950
2 1212 0.60600
3 329 0.16450
CLASSIFICATION QUALITY
Entropy 0.520
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Parameters for Class-specific Model Parts of C1
Latent Class C1#1
Thresholds
U11$1 1.000 0.8577 0.0000 0.0799 0.0202 1.000 1.000
U12$1 1.000 1.0818 0.0000 0.0871 0.0067 1.000 1.000
U13$1 1.000 1.1250 0.0000 0.0977 0.0156 1.000 1.000
U14$1 1.000 1.0118 0.0000 0.1064 0.0001 1.000 1.000
U15$1 1.000 1.1552 0.0000 0.1122 0.0241 1.000 1.000
Latent Class C1#2
Thresholds
U11$1 1.000 0.9525 0.0000 0.2038 0.0023 1.000 1.000
U12$1 1.000 0.9336 0.0000 0.1998 0.0044 1.000 1.000
U13$1 -1.000 -0.8649 0.0000 0.0897 0.0182 1.000 1.000
U14$1 -1.000 -1.0878 0.0000 0.0853 0.0077 1.000 1.000
U15$1 -1.000 -0.7938 0.0000 0.0738 0.0425 0.000 1.000
Latent Class C1#3
Thresholds
U11$1 -1.000 -1.1075 0.0000 0.3882 0.0116 1.000 1.000
U12$1 -1.000 -1.4423 0.0000 0.6000 0.1956 1.000 1.000
U13$1 -1.000 -1.1477 0.0000 0.1342 0.0218 1.000 1.000
U14$1 -1.000 -0.9318 0.0000 0.1127 0.0047 1.000 1.000
U15$1 -1.000 -1.1956 0.0000 0.1542 0.0383 1.000 1.000
Parameters for Class-specific Model Parts of C2
Latent Class C2#1
Thresholds
U21$1 1.000 0.8577 0.0000 0.0799 0.0202 1.000 1.000
U22$1 1.000 1.0818 0.0000 0.0871 0.0067 1.000 1.000
U23$1 1.000 1.1250 0.0000 0.0977 0.0156 1.000 1.000
U24$1 1.000 1.0118 0.0000 0.1064 0.0001 1.000 1.000
U25$1 1.000 1.1552 0.0000 0.1122 0.0241 1.000 1.000
Latent Class C2#2
Thresholds
U21$1 1.000 0.9525 0.0000 0.2038 0.0023 1.000 1.000
U22$1 1.000 0.9336 0.0000 0.1998 0.0044 1.000 1.000
U23$1 -1.000 -0.8649 0.0000 0.0897 0.0182 1.000 1.000
U24$1 -1.000 -1.0878 0.0000 0.0853 0.0077 1.000 1.000
U25$1 -1.000 -0.7938 0.0000 0.0738 0.0425 0.000 1.000
Latent Class C2#3
Thresholds
U21$1 -1.000 -1.1075 0.0000 0.3882 0.0116 1.000 1.000
U22$1 -1.000 -1.4423 0.0000 0.6000 0.1956 1.000 1.000
U23$1 -1.000 -1.1477 0.0000 0.1342 0.0218 1.000 1.000
U24$1 -1.000 -0.9318 0.0000 0.1127 0.0047 1.000 1.000
U25$1 -1.000 -1.1956 0.0000 0.1542 0.0383 1.000 1.000
Categorical Latent Variables
C2#1 ON
C1#1 0.500 0.7822 0.0000 0.4273 0.0796 1.000 0.000
C1#2 0.200 -0.2601 0.0000 0.5074 0.2117 1.000 0.000
C2#2 ON
C1#1 0.200 0.6188 0.0000 0.6336 0.1754 1.000 0.000
C1#2 0.300 0.3098 0.0000 0.7434 0.0001 1.000 0.000
C1#1 ON
X 1.500 1.5521 0.0000 0.1528 0.0027 1.000 1.000
C1#2 ON
X -0.500 -0.5085 0.0000 0.1677 0.0001 1.000 1.000
Intercepts
C1#1 0.000 -0.1306 0.0000 0.2542 0.0171 1.000 0.000
C1#2 0.000 0.1654 0.0000 0.4186 0.0274 1.000 0.000
C2#1 0.000 0.1301 0.0000 0.4448 0.0169 1.000 0.000
C2#2 0.000 0.2676 0.0000 0.7368 0.0716 1.000 0.000
Latent Class C1#1
C2#1 ON
X -0.500 -0.5219 0.0000 0.3838 0.0005 1.000 0.000
C2#2 ON
X 1.500 0.7939 0.0000 0.3204 0.4985 0.000 1.000
Latent Class C1#2
C2#1 ON
X 1.500 1.6585 0.0000 0.8631 0.0251 1.000 0.000
C2#2 ON
X -0.500 -0.6945 0.0000 0.4895 0.0378 1.000 0.000
Latent Class C1#3
C2#1 ON
X 0.800 0.6886 0.0000 0.3270 0.0124 1.000 1.000
C2#2 ON
X -0.800 -1.0189 0.0000 0.6202 0.0479 1.000 0.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.209E-02
(ratio of smallest to largest eigenvalue)
C-SPECIFIC CLASSIFICATION RESULTS
Classification Quality for C1
Entropy 0.531
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 0.847 0.104 0.049
2 0.078 0.740 0.182
3 0.055 0.178 0.767
Classification Quality for C2
Entropy 0.487
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 0.749 0.205 0.047
2 0.094 0.791 0.115
3 0.056 0.243 0.701
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 3
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 3
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 3 1
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 3 2
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 3 3
NU
X
________
0
LAMBDA
X
________
X 0
THETA
X
________
X 0
ALPHA
X
________
0
BETA
X
________
X 0
PSI
X
________
X 0
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS PATTERN 1 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 2 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C1#1 C1#2 C1#3 C2#1 C2#2
________ ________ ________ ________ ________
16 17 0 18 19
ALPHA(C)
C2#3
________
0
GAMMA(C)
X
________
C1#1 20
C1#2 21
C1#3 0
C2#1 0
C2#2 0
C2#3 0
BETA(C)
C1#1 C1#2 C1#3
________ ________ ________
C2#1 22 24 0
C2#2 23 25 0
C2#3 0 0 0
GAMMA(CC) FOR C1#1
X
________
C2#1 26
C2#2 27
C2#3 0
GAMMA(CC) FOR C1#2
X
________
C2#1 28
C2#2 29
C2#3 0
GAMMA(CC) FOR C1#3
X
________
C2#1 30
C2#2 31
C2#3 0
STARTING VALUES FOR LATENT CLASS PATTERN 1 1
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 1 2
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 1 3
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 2 1
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 2 2
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 2 3
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 3 1
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 3 2
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS PATTERN 3 3
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 0.500
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS PATTERN 1 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 2 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C1#1 C1#2 C1#3 C2#1 C2#2
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
ALPHA(C)
C2#3
________
0.000
GAMMA(C)
X
________
C1#1 1.500
C1#2 -0.500
C1#3 0.000
C2#1 0.000
C2#2 0.000
C2#3 0.000
BETA(C)
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.500 0.200 0.000
C2#2 0.200 0.300 0.000
C2#3 0.000 0.000 0.000
GAMMA(CC) FOR C1#1
X
________
C2#1 -0.500
C2#2 1.500
C2#3 0.000
GAMMA(CC) FOR C1#2
X
________
C2#1 1.500
C2#2 -0.500
C2#3 0.000
GAMMA(CC) FOR C1#3
X
________
C2#1 0.800
C2#2 -0.800
C2#3 0.000
POPULATION VALUES FOR LATENT CLASS PATTERN 1 1
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 1 2
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 1 3
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 2 1
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 2 2
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 2 3
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 3 1
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 3 2
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS PATTERN 3 3
NU
X
________
0.000
LAMBDA
X
________
X 1.000
THETA
X
________
X 0.000
ALPHA
X
________
0.000
BETA
X
________
X 0.000
PSI
X
________
X 1.000
POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS PATTERN 1 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 1 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 2 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 1.000 1.000 1.000
TAU(U) FOR LATENT CLASS PATTERN 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.000 1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
TAU(U) FOR LATENT CLASS PATTERN 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-1.000 -1.000 -1.000 -1.000 -1.000
POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C1#1 C1#2 C1#3 C2#1 C2#2
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
ALPHA(C)
C2#3
________
0.000
GAMMA(C)
X
________
C1#1 1.500
C1#2 -0.500
C1#3 0.000
C2#1 0.000
C2#2 0.000
C2#3 0.000
BETA(C)
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.500 0.200 0.000
C2#2 0.200 0.300 0.000
C2#3 0.000 0.000 0.000
GAMMA(CC) FOR C1#1
X
________
C2#1 -0.500
C2#2 1.500
C2#3 0.000
GAMMA(CC) FOR C1#2
X
________
C2#1 1.500
C2#2 -0.500
C2#3 0.000
GAMMA(CC) FOR C1#3
X
________
C2#1 0.800
C2#2 -0.800
C2#3 0.000
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
SAVEDATA INFORMATION
Order of variables
U11
U12
U13
U14
U15
U21
U22
U23
U24
U25
X
C1
C2
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Beginning Time: 22:24:44
Ending Time: 22:24:48
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