Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:24 PM
INPUT INSTRUCTIONS
TITLE: this is an example of LTA with a
binary covariate representing group
MONTECARLO:
NAMES = u11-u15 u21-u25 g;
GENERATE = u11-u15 u21-u25 g(1);
CATEGORICAL = u11-u15 u21-u25 g;
GENCLASSES = cg(2) c1(3) c2(3);
CLASSES = cg(2) c1(3) c2(3);
NOBSERVATION = 2000;
NREPS = 1;
save = ex8.13.dat;
ANALYSIS:
TYPE=MIXTURE;
PARAMETERIZATION=PROBABILITY;
! the same results can be obtained with regular parameterization
MODEL POPULATION:
%OVERALL%
[cg#1*0.5];
c1#1 on cg#1*0.5; c1#2 on cg#1*0.2;
c1#1 on cg#2*0.2; c1#2 on cg#2*0.5;
MODEL POPULATION-cg:
%cg#1%
[g$1@15]; ! does the same as KNOWNCLASS
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;
c2#1 on c1#3*0.2; c2#2 on c1#3*0.2;
%cg#2%
[g$1@-15];
c2#1 on c1#1*0.2; c2#2 on c1#1*0.5;
c2#1 on c1#2*0.3; c2#2 on c1#2*0.2;
c2#1 on c1#3*0.2; c2#2 on c1#3*0.2;
MODEL POPULATION-c1:
%c1#1%
[u11$1*1] (1);
[u12$1*1] (2);
[u13$1*1] (3);
[u14$1*1] (4);
[u15$1*1] (5);
%c1#2%
[u11$1*1] (6);
[u12$1*1] (7);
[u13$1*-1] (8);
[u14$1*-1] (9);
[u15$1*-1] (10);
%c1#3%
[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%
[cg#1*0.5];
c1#1 on cg#1*0.5; c1#2 on cg#1*0.2;
c1#1 on cg#2*0.2; c1#2 on cg#2*0.5;
MODEL cg:
%cg#1%
[g$1@15]; ! does the same as KNOWNCLASS
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;
c2#1 on c1#3*0.2; c2#2 on c1#3*0.2;
%cg#2%
[g$1@-15];
c2#1 on c1#1*0.2; c2#2 on c1#1*0.5;
c2#1 on c1#2*0.3; c2#2 on c1#2*0.2;
c2#1 on c1#3*0.2; c2#2 on c1#3*0.2;
MODEL c1:
%c1#1%
[u11$1*1] (1);
[u12$1*1] (2);
[u13$1*1] (3);
[u14$1*1] (4);
[u15$1*1] (5);
%c1#2%
[u11$1*1] (6);
[u12$1*1] (7);
[u13$1*-1] (8);
[u14$1*-1] (9);
[u15$1*-1] (10);
%c1#3%
[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
binary covariate representing group
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 11
Number of independent variables 0
Number of continuous latent variables 0
Number of categorical latent variables 3
Observed dependent variables
Binary and ordered categorical (ordinal)
U11 U12 U13 U14 U15 U21
U22 U23 U24 U25 G
Categorical latent variables
CG 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-03
Relative loglikelihood change 0.100D-05
Derivative 0.100D-03
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-03
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-03
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 PROBABILITY
Link LOGIT
MODEL FIT INFORMATION
Number of Free Parameters 32
Loglikelihood
H0 Value
Mean -14596.240
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -14596.240 -14596.240
0.980 0.000 -14596.240 -14596.240
0.950 0.000 -14596.240 -14596.240
0.900 0.000 -14596.240 -14596.240
0.800 0.000 -14596.240 -14596.240
0.700 0.000 -14596.240 -14596.240
0.500 0.000 -14596.240 -14596.240
0.300 0.000 -14596.240 -14596.240
0.200 0.000 -14596.240 -14596.240
0.100 0.000 -14596.240 -14596.240
0.050 0.000 -14596.240 -14596.240
0.020 0.000 -14596.240 -14596.240
0.010 0.000 -14596.240 -14596.240
Information Criteria
Akaike (AIC)
Mean 29256.479
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 29256.479 29256.479
0.980 0.000 29256.479 29256.479
0.950 0.000 29256.479 29256.479
0.900 0.000 29256.479 29256.479
0.800 0.000 29256.479 29256.479
0.700 0.000 29256.479 29256.479
0.500 0.000 29256.479 29256.479
0.300 0.000 29256.479 29256.479
0.200 0.000 29256.479 29256.479
0.100 0.000 29256.479 29256.479
0.050 0.000 29256.479 29256.479
0.020 0.000 29256.479 29256.479
0.010 0.000 29256.479 29256.479
Bayesian (BIC)
Mean 29435.708
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 29435.708 29435.708
0.980 0.000 29435.708 29435.708
0.950 0.000 29435.708 29435.708
0.900 0.000 29435.708 29435.708
0.800 0.000 29435.708 29435.708
0.700 0.000 29435.708 29435.708
0.500 0.000 29435.708 29435.708
0.300 0.000 29435.708 29435.708
0.200 0.000 29435.708 29435.708
0.100 0.000 29435.708 29435.708
0.050 0.000 29435.708 29435.708
0.020 0.000 29435.708 29435.708
0.010 0.000 29435.708 29435.708
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 29334.042
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 29334.042 29334.042
0.980 0.000 29334.042 29334.042
0.950 0.000 29334.042 29334.042
0.900 0.000 29334.042 29334.042
0.800 0.000 29334.042 29334.042
0.700 0.000 29334.042 29334.042
0.500 0.000 29334.042 29334.042
0.300 0.000 29334.042 29334.042
0.200 0.000 29334.042 29334.042
0.100 0.000 29334.042 29334.042
0.050 0.000 29334.042 29334.042
0.020 0.000 29334.042 29334.042
0.010 0.000 29334.042 29334.042
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Mean 1998.782
Std Dev 0.000
Degrees of freedom 2015
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 1870.266 1998.782
0.980 1.000 1886.778 1998.782
0.950 1.000 1911.730 1998.782
0.900 1.000 1934.084 1998.782
0.800 1.000 1961.387 1998.782
0.700 1.000 1981.233 1998.782
0.500 0.000 2014.333 1998.782
0.300 0.000 2047.801 1998.782
0.200 0.000 2068.224 1998.782
0.100 0.000 2096.772 1998.782
0.050 0.000 2120.544 1998.782
0.020 0.000 2147.512 1998.782
0.010 0.000 2165.616 1998.782
Likelihood Ratio Chi-Square
Mean 2121.420
Std Dev 0.000
Degrees of freedom 2015
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 1870.266 2121.420
0.980 1.000 1886.778 2121.420
0.950 1.000 1911.730 2121.420
0.900 1.000 1934.084 2121.420
0.800 1.000 1961.387 2121.420
0.700 1.000 1981.233 2121.420
0.500 1.000 2014.333 2121.420
0.300 1.000 2047.801 2121.420
0.200 1.000 2068.224 2121.420
0.100 1.000 2096.772 2121.420
0.050 1.000 2120.544 2121.420
0.020 0.000 2147.512 2121.420
0.010 0.000 2165.616 2121.420
MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER
CG C1 C2
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THE ESTIMATED MODEL
Latent Class
Pattern
1 1 1 302.47023 0.15124
1 1 2 82.08587 0.04104
1 1 3 163.04291 0.08152
1 2 1 49.76042 0.02488
1 2 2 37.35069 0.01868
1 2 3 105.26401 0.05263
1 3 1 36.91757 0.01846
1 3 2 105.41862 0.05271
1 3 3 124.69649 0.06235
2 1 1 45.20652 0.02260
2 1 2 108.74603 0.05437
2 1 3 51.11519 0.02556
2 2 1 141.78810 0.07089
2 2 2 123.20221 0.06160
2 2 3 240.22102 0.12011
2 3 1 76.13096 0.03807
2 3 2 8.07816 0.00404
2 3 3 198.50499 0.09925
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
CG 1 1007.00690 0.50350
2 992.99323 0.49650
C1 1 752.66681 0.37633
2 697.58649 0.34879
3 549.74677 0.27487
C2 1 652.27380 0.32614
2 464.88156 0.23244
3 882.84467 0.44142
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
CG Classes (Rows) by C1 Classes (Columns)
1 2 3
1 0.544 0.191 0.265
2 0.207 0.509 0.285
C1 Classes (Rows) by C2 Classes (Columns)
1 2 3
1 0.462 0.254 0.285
2 0.275 0.230 0.495
3 0.206 0.206 0.588
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Pattern
1 1 1 302.46989 0.15123
1 1 2 82.08234 0.04104
1 1 3 163.04943 0.08152
1 2 1 49.76434 0.02488
1 2 2 37.35134 0.01868
1 2 3 105.26546 0.05263
1 3 1 36.91552 0.01846
1 3 2 105.41105 0.05271
1 3 3 124.69063 0.06235
2 1 1 45.20694 0.02260
2 1 2 108.74954 0.05437
2 1 3 51.11429 0.02556
2 2 1 141.77994 0.07089
2 2 2 123.20126 0.06160
2 2 3 240.22929 0.12011
2 3 1 76.13139 0.03807
2 3 2 8.07814 0.00404
2 3 3 198.50922 0.09925
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Variable Class
CG 1 1006.99994 0.50350
2 993.00000 0.49650
C1 1 752.67230 0.37634
2 697.59167 0.34880
3 549.73596 0.27487
C2 1 652.26807 0.32613
2 464.87366 0.23244
3 882.85828 0.44143
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 1 350 0.17500
1 1 2 39 0.01950
1 1 3 216 0.10800
1 2 1 23 0.01150
1 2 2 15 0.00750
1 2 3 88 0.04400
1 3 1 36 0.01800
1 3 2 95 0.04750
1 3 3 145 0.07250
2 1 1 60 0.03000
2 1 2 100 0.05000
2 1 3 43 0.02150
2 2 1 176 0.08800
2 2 2 73 0.03650
2 2 3 318 0.15900
2 3 1 52 0.02600
2 3 2 7 0.00350
2 3 3 164 0.08200
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Latent Class
Variable Class
CG 1 1007 0.50350
2 993 0.49650
C1 1 808 0.40400
2 693 0.34650
3 499 0.24950
C2 1 697 0.34850
2 329 0.16450
3 974 0.48700
CLASSIFICATION QUALITY
Entropy 0.569
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Parameters for Class-specific Model Parts of CG
Latent Class CG#1
Thresholds
G$1 15.000 15.0000 0.0000 0.0000 0.0000 1.000 0.000
Latent Class CG#2
Thresholds
G$1 -15.000 -15.0000 0.0000 0.0000 0.0000 1.000 0.000
Parameters for Class-specific Model Parts of C1
Latent Class C1#1
Thresholds
U11$1 1.000 1.0611 0.0000 0.1006 0.0037 1.000 1.000
U12$1 1.000 0.9589 0.0000 0.0863 0.0017 1.000 1.000
U13$1 1.000 0.8599 0.0000 0.1204 0.0196 1.000 1.000
U14$1 1.000 0.8292 0.0000 0.1075 0.0292 1.000 1.000
U15$1 1.000 0.9415 0.0000 0.1258 0.0034 1.000 1.000
Latent Class C1#2
Thresholds
U11$1 1.000 0.9609 0.0000 0.3097 0.0015 1.000 1.000
U12$1 1.000 0.7190 0.0000 0.2090 0.0789 1.000 1.000
U13$1 -1.000 -1.0782 0.0000 0.1730 0.0061 1.000 1.000
U14$1 -1.000 -0.8241 0.0000 0.1467 0.0309 1.000 1.000
U15$1 -1.000 -1.2864 0.0000 0.2467 0.0820 1.000 1.000
Latent Class C1#3
Thresholds
U11$1 -1.000 -1.2523 0.0000 0.2788 0.0637 1.000 1.000
U12$1 -1.000 -0.8944 0.0000 0.2031 0.0112 1.000 1.000
U13$1 -1.000 -0.9736 0.0000 0.0986 0.0007 1.000 1.000
U14$1 -1.000 -1.0387 0.0000 0.1099 0.0015 1.000 1.000
U15$1 -1.000 -0.8377 0.0000 0.0958 0.0263 1.000 1.000
Parameters for Class-specific Model Parts of C2
Latent Class C2#1
Thresholds
U21$1 1.000 1.0611 0.0000 0.1006 0.0037 1.000 1.000
U22$1 1.000 0.9589 0.0000 0.0863 0.0017 1.000 1.000
U23$1 1.000 0.8599 0.0000 0.1204 0.0196 1.000 1.000
U24$1 1.000 0.8292 0.0000 0.1075 0.0292 1.000 1.000
U25$1 1.000 0.9415 0.0000 0.1258 0.0034 1.000 1.000
Latent Class C2#2
Thresholds
U21$1 1.000 0.9609 0.0000 0.3097 0.0015 1.000 1.000
U22$1 1.000 0.7190 0.0000 0.2090 0.0789 1.000 1.000
U23$1 -1.000 -1.0782 0.0000 0.1730 0.0061 1.000 1.000
U24$1 -1.000 -0.8241 0.0000 0.1467 0.0309 1.000 1.000
U25$1 -1.000 -1.2864 0.0000 0.2467 0.0820 1.000 1.000
Latent Class C2#3
Thresholds
U21$1 -1.000 -1.2523 0.0000 0.2788 0.0637 1.000 1.000
U22$1 -1.000 -0.8944 0.0000 0.2031 0.0112 1.000 1.000
U23$1 -1.000 -0.9736 0.0000 0.0986 0.0007 1.000 1.000
U24$1 -1.000 -1.0387 0.0000 0.1099 0.0015 1.000 1.000
U25$1 -1.000 -0.8377 0.0000 0.0958 0.0263 1.000 1.000
Categorical Latent Variables
C1#1 ON
CG#1 0.500 0.5438 0.0000 0.0340 0.0019 1.000 1.000
CG#2 0.200 0.2065 0.0000 0.0400 0.0000 1.000 1.000
C1#2 ON
CG#1 0.200 0.1910 0.0000 0.0521 0.0001 1.000 1.000
CG#2 0.500 0.5088 0.0000 0.0939 0.0001 1.000 1.000
Means
CG#1 0.500 0.5035 0.0000 0.0112 0.0000 1.000 1.000
Latent Class CG#1
C2#1 ON
C1#1 0.500 0.5524 0.0000 0.0447 0.0027 1.000 1.000
C1#2 0.200 0.2587 0.0000 0.1010 0.0034 1.000 1.000
C1#3 0.200 0.1383 0.0000 0.0608 0.0038 1.000 1.000
C2#2 ON
C1#1 0.200 0.1499 0.0000 0.0769 0.0025 1.000 0.000
C1#2 0.300 0.1942 0.0000 0.1330 0.0112 1.000 0.000
C1#3 0.200 0.3948 0.0000 0.1361 0.0379 1.000 1.000
Latent Class CG#2
C2#1 ON
C1#1 0.200 0.2204 0.0000 0.0839 0.0004 1.000 1.000
C1#2 0.300 0.2807 0.0000 0.0529 0.0004 1.000 1.000
C1#3 0.200 0.2693 0.0000 0.0679 0.0048 1.000 1.000
C2#2 ON
C1#1 0.500 0.5303 0.0000 0.1383 0.0009 1.000 1.000
C1#2 0.200 0.2439 0.0000 0.0957 0.0019 1.000 1.000
C1#3 0.200 0.0286 0.0000 0.0862 0.0294 0.000 0.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.711E-03
(ratio of smallest to largest eigenvalue)
C-SPECIFIC CLASSIFICATION RESULTS
Classification Quality for CG
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 Quality for C1
Entropy 0.420
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 0.774 0.147 0.078
2 0.119 0.693 0.189
3 0.090 0.197 0.713
Classification Quality for C2
Entropy 0.412
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 0.742 0.131 0.127
2 0.147 0.644 0.210
3 0.089 0.166 0.745
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1 1
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1 2
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1 3
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2 1
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2 2
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2 3
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 3 1
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 3 2
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 3 3
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1 1
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1 2
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1 3
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2 1
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2 2
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2 3
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 3 1
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 3 2
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 3 3
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS PATTERN 1 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 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 1 1
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 1 1 2
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 1 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 1 1 3
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 1 2 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 2 1
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 2 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 1 2 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 1 2 2
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 1 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 1 2 3
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 1 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 1 3 1
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 1 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 1 3 2
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 1 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 1 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 1 3 3
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 1 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 2 1 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 2 1 1
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 2 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 1 2
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 2 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 3
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 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 1
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 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 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 2 2
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 2 2 3
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 2 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1 2 3 4 5
TAU(U) FOR LATENT CLASS PATTERN 2 3 1
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 2 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
6 7 8 9 10
TAU(U) FOR LATENT CLASS PATTERN 2 3 2
G$1
________
0
TAU(U) FOR LATENT CLASS PATTERN 2 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 2 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
11 12 13 14 15
TAU(U) FOR LATENT CLASS PATTERN 2 3 3
G$1
________
0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C1#1 C1#2 C1#3
________ ________ ________ ________ ________
16 0 0 0 0
ALPHA(C)
C2#1 C2#2 C2#3
________ ________ ________
0 0 0
BETA(C)
CG#1 CG#2
________ ________
C1#1 17 19
C1#2 18 20
C1#3 0 0
BETA(CC) FOR CG#1
C1#1 C1#2 C1#3
________ ________ ________
C2#1 21 23 25
C2#2 22 24 26
C2#3 0 0 0
BETA(CC) FOR CG#2
C1#1 C1#2 C1#3
________ ________ ________
C2#1 27 29 31
C2#2 28 30 32
C2#3 0 0 0
STARTING VALUES FOR LATENT CLASS PATTERN 1 1 1
STARTING VALUES FOR LATENT CLASS PATTERN 1 1 2
STARTING VALUES FOR LATENT CLASS PATTERN 1 1 3
STARTING VALUES FOR LATENT CLASS PATTERN 1 2 1
STARTING VALUES FOR LATENT CLASS PATTERN 1 2 2
STARTING VALUES FOR LATENT CLASS PATTERN 1 2 3
STARTING VALUES FOR LATENT CLASS PATTERN 1 3 1
STARTING VALUES FOR LATENT CLASS PATTERN 1 3 2
STARTING VALUES FOR LATENT CLASS PATTERN 1 3 3
STARTING VALUES FOR LATENT CLASS PATTERN 2 1 1
STARTING VALUES FOR LATENT CLASS PATTERN 2 1 2
STARTING VALUES FOR LATENT CLASS PATTERN 2 1 3
STARTING VALUES FOR LATENT CLASS PATTERN 2 2 1
STARTING VALUES FOR LATENT CLASS PATTERN 2 2 2
STARTING VALUES FOR LATENT CLASS PATTERN 2 2 3
STARTING VALUES FOR LATENT CLASS PATTERN 2 3 1
STARTING VALUES FOR LATENT CLASS PATTERN 2 3 2
STARTING VALUES FOR LATENT CLASS PATTERN 2 3 3
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS PATTERN 1 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 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 1 1
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 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 1 2
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 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 1 1 3
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 2 1
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 2 2
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 2 3
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 3 1
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 3 2
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 3 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 1 3 3
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 1 1
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 1 2
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 3
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 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 1
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 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 2 2
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 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 2 2 3
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 3 1
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 3 2
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 3 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 3 3
G$1
________
-15.000
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C1#1 C1#2 C1#3
________ ________ ________ ________ ________
0.500 0.000 0.000 0.000 0.000
ALPHA(C)
C2#1 C2#2 C2#3
________ ________ ________
0.000 0.000 0.000
BETA(C)
CG#1 CG#2
________ ________
C1#1 0.500 0.200
C1#2 0.200 0.500
C1#3 0.000 0.000
BETA(CC) FOR CG#1
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.500 0.200 0.200
C2#2 0.200 0.300 0.200
C2#3 0.000 0.000 0.000
BETA(CC) FOR CG#2
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.200 0.300 0.200
C2#2 0.500 0.200 0.200
C2#3 0.000 0.000 0.000
POPULATION VALUES FOR LATENT CLASS PATTERN 1 1 1
POPULATION VALUES FOR LATENT CLASS PATTERN 1 1 2
POPULATION VALUES FOR LATENT CLASS PATTERN 1 1 3
POPULATION VALUES FOR LATENT CLASS PATTERN 1 2 1
POPULATION VALUES FOR LATENT CLASS PATTERN 1 2 2
POPULATION VALUES FOR LATENT CLASS PATTERN 1 2 3
POPULATION VALUES FOR LATENT CLASS PATTERN 1 3 1
POPULATION VALUES FOR LATENT CLASS PATTERN 1 3 2
POPULATION VALUES FOR LATENT CLASS PATTERN 1 3 3
POPULATION VALUES FOR LATENT CLASS PATTERN 2 1 1
POPULATION VALUES FOR LATENT CLASS PATTERN 2 1 2
POPULATION VALUES FOR LATENT CLASS PATTERN 2 1 3
POPULATION VALUES FOR LATENT CLASS PATTERN 2 2 1
POPULATION VALUES FOR LATENT CLASS PATTERN 2 2 2
POPULATION VALUES FOR LATENT CLASS PATTERN 2 2 3
POPULATION VALUES FOR LATENT CLASS PATTERN 2 3 1
POPULATION VALUES FOR LATENT CLASS PATTERN 2 3 2
POPULATION VALUES FOR LATENT CLASS PATTERN 2 3 3
POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS PATTERN 1 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 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 1 1
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 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 1 2
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 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 1 1 3
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 2 1
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 2 2
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 2 3
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 3 1
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 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 1 3 2
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 1 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 1 3 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 1 3 3
G$1
________
15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 1 1
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 1 2
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 3
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 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 1
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 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 2 2
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 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 2 2 3
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 3 1
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 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 2 3 2
G$1
________
-15.000
TAU(U) FOR LATENT CLASS PATTERN 2 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 2 3 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 3 3
G$1
________
-15.000
POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C1#1 C1#2 C1#3
________ ________ ________ ________ ________
0.500 0.000 0.000 0.000 0.000
ALPHA(C)
C2#1 C2#2 C2#3
________ ________ ________
0.000 0.000 0.000
BETA(C)
CG#1 CG#2
________ ________
C1#1 0.500 0.200
C1#2 0.200 0.500
C1#3 0.000 0.000
BETA(CC) FOR CG#1
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.500 0.200 0.200
C2#2 0.200 0.300 0.200
C2#3 0.000 0.000 0.000
BETA(CC) FOR CG#2
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.200 0.300 0.200
C2#2 0.500 0.200 0.200
C2#3 0.000 0.000 0.000
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
REPLICATION 1:
IN THE OPTIMIZATION, ONE OR MORE LOGIT THRESHOLDS APPROACHED EXTREME VALUES
OF -15.000 AND 15.000 AND WERE FIXED TO STABILIZE MODEL ESTIMATION. THESE
VALUES IMPLY PROBABILITIES OF 0 AND 1. IN THE MODEL RESULTS SECTION, THESE
PARAMETERS HAVE 0 STANDARD ERRORS AND 999 IN THE Z-SCORE AND P-VALUE COLUMNS.
SAVEDATA INFORMATION
Order of variables
U11
U12
U13
U14
U15
U21
U22
U23
U24
U25
G
CG
C1
C2
Save file
ex8.13.dat
Save file format Free
Save file record length 10000
Beginning Time: 22:24:44
Ending Time: 22:24:44
Elapsed Time: 00:00:00
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