Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:13 PM
INPUT INSTRUCTIONS
TITLE: this is an example of a LTA for two time
points with a continuous covariate
influencing the latent transition
probabilities
DATA: FILE = ex8.14.dat;
VARIABLE: NAMES = u11-u15 u21-u25 x;
CATEGORICAL = u11-u15 u21-u25;
CLASSES = c1 (3) c2 (3);
ANALYSIS: TYPE = MIXTURE;
PROCESSORS = 2;
MODEL: %OVERALL%
c1 ON x;
c2 ON c1;
MODEL c1: %c1#1%
c2 ON x;
[u11$1] (1);
[u12$1] (2);
[u13$1] (3);
[u14$1] (4);
[u15$1] (5);
%c1#2%
c2 ON x;
[u11$1] (6);
[u12$1] (7);
[u13$1] (8);
[u14$1] (9);
[u15$1] (10);
%c1#3%
c2 ON x;
[u11$1] (11);
[u12$1] (12);
[u13$1] (13);
[u14$1] (14);
[u15$1] (15);
MODEL c2: %c2#1%
[u21$1] (1);
[u22$1] (2);
[u23$1] (3);
[u24$1] (4);
[u25$1] (5);
%c2#2%
[u21$1] (6);
[u22$1] (7);
[u23$1] (8);
[u24$1] (9);
[u25$1] (10);
%c2#3%
[u21$1] (11);
[u22$1] (12);
[u23$1] (13);
[u24$1] (14);
[u25$1] (15);
OUTPUT: TECH1 TECH8;
INPUT READING TERMINATED NORMALLY
this is an example of a LTA for two time
points with a continuous covariate
influencing the latent transition
probabilities
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 2000
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
Random Starts Specifications
Number of initial stage random starts 20
Number of final stage optimizations 4
Number of initial stage iterations 10
Initial stage convergence criterion 0.100D+01
Random starts scale 0.500D+01
Random seed for generating random starts 0
Parameterization LOGIT
Link LOGIT
Input data file(s)
ex8.14.dat
Input data format FREE
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
U11
Category 1 0.586 1172.000
Category 2 0.414 828.000
U12
Category 1 0.594 1187.000
Category 2 0.406 813.000
U13
Category 1 0.437 874.000
Category 2 0.563 1126.000
U14
Category 1 0.436 873.000
Category 2 0.564 1127.000
U15
Category 1 0.458 915.000
Category 2 0.542 1085.000
U21
Category 1 0.628 1257.000
Category 2 0.371 743.000
U22
Category 1 0.618 1236.000
Category 2 0.382 764.000
U23
Category 1 0.406 811.000
Category 2 0.595 1189.000
U24
Category 1 0.370 741.000
Category 2 0.629 1259.000
U25
Category 1 0.399 797.000
Category 2 0.602 1203.000
UNIVARIATE SAMPLE STATISTICS
UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS
Variable/ Mean/ Skewness/ Minimum/ % with Percentiles
Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median
X 0.025 -0.013 -3.990 0.05% -0.786 -0.247 0.001
2000.000 1.006 0.048 3.254 0.05% 0.271 0.867
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-12902.140 unperturbed 0
-12902.140 533738 11
-12902.140 195873 6
-12902.140 399671 13
THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED. RERUN WITH AT LEAST TWICE THE
RANDOM STARTS TO CHECK THAT THE BEST LOGLIKELIHOOD IS STILL OBTAINED AND REPLICATED.
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 31
Loglikelihood
H0 Value -12902.140
H0 Scaling Correction Factor 1.0434
for MLR
Information Criteria
Akaike (AIC) 25866.281
Bayesian (BIC) 26039.909
Sample-Size Adjusted BIC 25941.420
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Value 1028.526
Degrees of Freedom 1000
P-Value 0.2589
Likelihood Ratio Chi-Square
Value 1102.233
Degrees of Freedom 1000
P-Value 0.0130
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
C1 1 525.87720 0.26294
2 749.33826 0.37467
3 724.78455 0.36239
C2 1 391.52097 0.19576
2 1132.59033 0.56630
3 475.88873 0.23794
CLASSIFICATION QUALITY
Entropy 0.520
LATENT CLASS INDICATOR MEANS AND PROBABILITIES FOR EACH LATENT CLASS
MEAN/PROBABILITY PROFILES FOR C1
Latent class
1 2 3
U11
Category 1 0.248 0.722 0.702
Category 2 0.752 0.278 0.298
U12
Category 1 0.191 0.718 0.747
Category 2 0.809 0.282 0.253
U13
Category 1 0.241 0.296 0.755
Category 2 0.759 0.704 0.245
U14
Category 1 0.283 0.252 0.733
Category 2 0.717 0.748 0.267
U15
Category 1 0.232 0.311 0.760
Category 2 0.768 0.689 0.240
MEAN/PROBABILITY PROFILES FOR C2
Latent class
1 2 3
U21
Category 1 0.248 0.722 0.702
Category 2 0.752 0.278 0.298
U22
Category 1 0.191 0.718 0.747
Category 2 0.809 0.282 0.253
U23
Category 1 0.241 0.296 0.755
Category 2 0.759 0.704 0.245
U24
Category 1 0.283 0.252 0.733
Category 2 0.717 0.748 0.267
U25
Category 1 0.232 0.311 0.760
Category 2 0.768 0.689 0.240
LOGISTIC REGRESSION ODDS RATIO RESULTS
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Categorical Latent Variables
C1#1 ON
X 0.212 0.032 0.157 0.286
C1#2 ON
X 0.127 0.022 0.091 0.178
Latent Class C1#1
C2#1 ON
X 0.502 0.164 0.265 0.953
C2#2 ON
X 0.181 0.114 0.053 0.623
Latent Class C1#2
C2#1 ON
X 0.190 0.164 0.035 1.034
C2#2 ON
X 0.095 0.070 0.023 0.400
Latent Class C1#3
C2#1 ON
X 1.685 0.647 0.794 3.576
C2#2 ON
X 3.728 1.582 1.623 8.564
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
C1 Classes (Rows) by C2 Classes (Columns)
1 2 3
1 0.243 0.398 0.359
2 0.205 0.455 0.339
3 0.147 0.431 0.422
TRANSITION PROBABILITY ODDS
EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES
TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR C1 TO C2
1.000(1.000,1.000) 1.273(0.293,5.530) 1.159(0.486,2.764)
0.572(0.250,1.309) 1.000(1.000,1.000) 0.523(0.242,1.134)
0.407(0.161,1.031) 1.007(0.522,1.946) 1.000(1.000,1.000)
COVARIATE EFFECTS ON TRANSITION PROBABILITY ODDS RATIOS
EFFECT OF X
TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR C1 TO C2
1.000( 1.000, 1.000) 0.361( 0.107, 1.217) 1.991( 1.049, 3.779)
2.003( 0.767, 5.227) 1.000( 1.000, 1.000) 10.520( 2.498,44.298)
1.685( 0.794, 3.576) 3.728( 1.623, 8.564) 1.000( 1.000, 1.000)
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 0.767 0.178 0.055
2 0.182 0.740 0.078
3 0.049 0.104 0.847
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 0.653 0.276 0.071
2 0.106 0.789 0.104
3 0.034 0.086 0.880
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 2.223 1.361 0.000
2 0.020 2.022 0.000
3 -3.254 -2.321 0.000
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 0.701 0.243 0.056
2 0.115 0.791 0.094
3 0.047 0.205 0.749
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 0.589 0.356 0.055
2 0.071 0.846 0.083
3 0.039 0.239 0.722
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 2.374 1.872 0.000
2 -0.161 2.323 0.000
3 -2.932 -1.105 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Parameters for Class-specific Model Parts of C1
Latent Class C1#1
Thresholds
U11$1 -1.107 0.388 -2.854 0.004
U12$1 -1.442 0.600 -2.405 0.016
U13$1 -1.148 0.134 -8.556 0.000
U14$1 -0.932 0.113 -8.266 0.000
U15$1 -1.196 0.154 -7.757 0.000
Latent Class C1#2
Thresholds
U11$1 0.953 0.204 4.675 0.000
U12$1 0.934 0.200 4.674 0.000
U13$1 -0.865 0.090 -9.637 0.000
U14$1 -1.088 0.085 -12.750 0.000
U15$1 -0.794 0.074 -10.749 0.000
Latent Class C1#3
Thresholds
U11$1 0.858 0.080 10.736 0.000
U12$1 1.082 0.087 12.426 0.000
U13$1 1.125 0.098 11.512 0.000
U14$1 1.012 0.106 9.511 0.000
U15$1 1.155 0.112 10.298 0.000
Parameters for Class-specific Model Parts of C2
Latent Class C2#1
Thresholds
U21$1 -1.107 0.388 -2.854 0.004
U22$1 -1.442 0.600 -2.405 0.016
U23$1 -1.148 0.134 -8.556 0.000
U24$1 -0.932 0.113 -8.266 0.000
U25$1 -1.196 0.154 -7.757 0.000
Latent Class C2#2
Thresholds
U21$1 0.953 0.204 4.675 0.000
U22$1 0.934 0.200 4.674 0.000
U23$1 -0.865 0.090 -9.637 0.000
U24$1 -1.088 0.085 -12.750 0.000
U25$1 -0.794 0.074 -10.749 0.000
Latent Class C2#3
Thresholds
U21$1 0.858 0.080 10.736 0.000
U22$1 1.082 0.087 12.426 0.000
U23$1 1.125 0.098 11.512 0.000
U24$1 1.012 0.106 9.511 0.000
U25$1 1.155 0.112 10.298 0.000
Categorical Latent Variables
C2#1 ON
C1#1 0.782 0.427 1.831 0.067
C1#2 1.042 0.517 2.018 0.044
C2#2 ON
C1#1 0.163 0.515 0.317 0.751
C1#2 0.733 0.577 1.270 0.204
C1#1 ON
X -1.552 0.153 -10.159 0.000
C1#2 ON
X -2.061 0.171 -12.021 0.000
Intercepts
C1#1 0.131 0.254 0.515 0.607
C1#2 0.296 0.234 1.265 0.206
C2#1 -0.912 0.476 -1.918 0.055
C2#2 -0.026 0.344 -0.076 0.940
Latent Class C1#1
C2#1 ON
X -0.689 0.327 -2.106 0.035
C2#2 ON
X -1.708 0.630 -2.711 0.007
Latent Class C1#2
C2#1 ON
X -1.659 0.863 -1.921 0.055
C2#2 ON
X -2.353 0.734 -3.208 0.001
Latent Class C1#3
C2#1 ON
X 0.522 0.384 1.360 0.174
C2#2 ON
X 1.316 0.424 3.101 0.002
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.236E-02
(ratio of smallest to largest eigenvalue)
RESULTS IN PROBABILITY SCALE
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Results for Class-specific Model Parts of C1
Latent Class C1#1
U11
Category 1 0.248 0.072 3.429 0.001
Category 2 0.752 0.072 10.377 0.000
U12
Category 1 0.191 0.093 2.062 0.039
Category 2 0.809 0.093 8.719 0.000
U13
Category 1 0.241 0.025 9.822 0.000
Category 2 0.759 0.025 30.946 0.000
U14
Category 1 0.283 0.023 12.365 0.000
Category 2 0.717 0.023 31.396 0.000
U15
Category 1 0.232 0.027 8.451 0.000
Category 2 0.768 0.027 27.934 0.000
Latent Class C1#2
U11
Category 1 0.722 0.041 17.629 0.000
Category 2 0.278 0.041 6.799 0.000
U12
Category 1 0.718 0.040 17.739 0.000
Category 2 0.282 0.040 6.973 0.000
U13
Category 1 0.296 0.019 15.834 0.000
Category 2 0.704 0.019 37.604 0.000
U14
Category 1 0.252 0.016 15.670 0.000
Category 2 0.748 0.016 46.506 0.000
U15
Category 1 0.311 0.016 19.663 0.000
Category 2 0.689 0.016 43.491 0.000
Latent Class C1#3
U11
Category 1 0.702 0.017 42.028 0.000
Category 2 0.298 0.017 17.825 0.000
U12
Category 1 0.747 0.016 45.370 0.000
Category 2 0.253 0.016 15.379 0.000
U13
Category 1 0.755 0.018 41.752 0.000
Category 2 0.245 0.018 13.554 0.000
U14
Category 1 0.733 0.021 35.254 0.000
Category 2 0.267 0.021 12.817 0.000
U15
Category 1 0.760 0.020 37.216 0.000
Category 2 0.240 0.020 11.723 0.000
Results for Class-specific Model Parts of C2
Latent Class C2#1
U21
Category 1 0.248 0.072 3.429 0.001
Category 2 0.752 0.072 10.377 0.000
U22
Category 1 0.191 0.093 2.062 0.039
Category 2 0.809 0.093 8.719 0.000
U23
Category 1 0.241 0.025 9.822 0.000
Category 2 0.759 0.025 30.946 0.000
U24
Category 1 0.283 0.023 12.365 0.000
Category 2 0.717 0.023 31.396 0.000
U25
Category 1 0.232 0.027 8.451 0.000
Category 2 0.768 0.027 27.934 0.000
Latent Class C2#2
U21
Category 1 0.722 0.041 17.629 0.000
Category 2 0.278 0.041 6.799 0.000
U22
Category 1 0.718 0.040 17.739 0.000
Category 2 0.282 0.040 6.973 0.000
U23
Category 1 0.296 0.019 15.834 0.000
Category 2 0.704 0.019 37.604 0.000
U24
Category 1 0.252 0.016 15.670 0.000
Category 2 0.748 0.016 46.506 0.000
U25
Category 1 0.311 0.016 19.663 0.000
Category 2 0.689 0.016 43.491 0.000
Latent Class C2#3
U21
Category 1 0.702 0.017 42.028 0.000
Category 2 0.298 0.017 17.825 0.000
U22
Category 1 0.747 0.016 45.370 0.000
Category 2 0.253 0.016 15.379 0.000
U23
Category 1 0.755 0.018 41.752 0.000
Category 2 0.245 0.018 13.554 0.000
U24
Category 1 0.733 0.021 35.254 0.000
Category 2 0.267 0.021 12.817 0.000
U25
Category 1 0.760 0.020 37.216 0.000
Category 2 0.240 0.020 11.723 0.000
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 0.503
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 0.503
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 0.503
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 0.503
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 0.503
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 0.503
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 0.503
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 0.503
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 0.503
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
________ ________ ________ ________ ________
-0.397 -0.404 -1.151 -1.226 -1.124
TAU(U) FOR LATENT CLASS PATTERN 1 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.397 -0.404 -1.151 -1.226 -1.124
TAU(U) FOR LATENT CLASS PATTERN 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-0.397 -0.404 -1.151 -1.226 -1.124
TAU(U) FOR LATENT CLASS PATTERN 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.437 0.430 -0.318 -0.393 -0.291
TAU(U) FOR LATENT CLASS PATTERN 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-0.397 -0.404 -1.151 -1.226 -1.124
TAU(U) FOR LATENT CLASS PATTERN 1 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.270 1.263 0.515 0.441 0.542
TAU(U) FOR LATENT CLASS PATTERN 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.437 0.430 -0.318 -0.393 -0.291
TAU(U) FOR LATENT CLASS PATTERN 2 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.397 -0.404 -1.151 -1.226 -1.124
TAU(U) FOR LATENT CLASS PATTERN 2 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.437 0.430 -0.318 -0.393 -0.291
TAU(U) FOR LATENT CLASS PATTERN 2 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.437 0.430 -0.318 -0.393 -0.291
TAU(U) FOR LATENT CLASS PATTERN 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.437 0.430 -0.318 -0.393 -0.291
TAU(U) FOR LATENT CLASS PATTERN 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.270 1.263 0.515 0.441 0.542
TAU(U) FOR LATENT CLASS PATTERN 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.270 1.263 0.515 0.441 0.542
TAU(U) FOR LATENT CLASS PATTERN 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.397 -0.404 -1.151 -1.226 -1.124
TAU(U) FOR LATENT CLASS PATTERN 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.270 1.263 0.515 0.441 0.542
TAU(U) FOR LATENT CLASS PATTERN 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.437 0.430 -0.318 -0.393 -0.291
TAU(U) FOR LATENT CLASS PATTERN 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
1.270 1.263 0.515 0.441 0.542
TAU(U) FOR LATENT CLASS PATTERN 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
1.270 1.263 0.515 0.441 0.542
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 0.000
C1#2 0.000
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 0.000 0.000 0.000
C2#2 0.000 0.000 0.000
C2#3 0.000 0.000 0.000
GAMMA(CC) FOR C1#1
X
________
C2#1 0.000
C2#2 0.000
C2#3 0.000
GAMMA(CC) FOR C1#2
X
________
C2#1 0.000
C2#2 0.000
C2#3 0.000
GAMMA(CC) FOR C1#3
X
________
C2#1 0.000
C2#2 0.000
C2#3 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.13276945D+05 0.0000000 0.0000000 EM
2 -0.13168692D+05 108.2523085 0.0081534 EM
3 -0.13103668D+05 65.0239814 0.0049378 EM
4 -0.13057468D+05 46.2002991 0.0035258 EM
5 -0.13023659D+05 33.8092138 0.0025893 EM
6 -0.12998093D+05 25.5661525 0.0019631 EM
7 -0.12977173D+05 20.9197996 0.0016095 EM
8 -0.12958900D+05 18.2727383 0.0014081 EM
9 -0.12943065D+05 15.8346973 0.0012219 EM
10 -0.12930315D+05 12.7504318 0.0009851 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.14989966D+05 0.0000000 0.0000000 EM
2 -0.13375249D+05 1614.7169790 0.1077199 EM
3 -0.13164546D+05 210.7031465 0.0157532 EM
4 -0.13063075D+05 101.4707678 0.0077079 EM
5 -0.13027739D+05 35.3364299 0.0027051 EM
6 -0.13014918D+05 12.8209969 0.0009841 EM
7 -0.13008559D+05 6.3586267 0.0004886 EM
8 -0.13004299D+05 4.2598373 0.0003275 EM
9 -0.13000836D+05 3.4638453 0.0002664 EM
10 -0.12997675D+05 3.1611355 0.0002431 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18342572D+05 0.0000000 0.0000000 EM
2 -0.13552782D+05 4789.7902519 0.2611297 EM
3 -0.13339919D+05 212.8629967 0.0157062 EM
4 -0.13219584D+05 120.3347372 0.0090206 EM
5 -0.13130579D+05 89.0057035 0.0067329 EM
6 -0.13063951D+05 66.6274198 0.0050742 EM
7 -0.13018685D+05 45.2660788 0.0034650 EM
8 -0.12988965D+05 29.7200351 0.0022829 EM
9 -0.12968324D+05 20.6408949 0.0015891 EM
10 -0.12953202D+05 15.1217692 0.0011661 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15899507D+05 0.0000000 0.0000000 EM
2 -0.13694491D+05 2205.0157800 0.1386845 EM
3 -0.13561847D+05 132.6435140 0.0096859 EM
4 -0.13477326D+05 84.5218935 0.0062323 EM
5 -0.13381535D+05 95.7902160 0.0071075 EM
6 -0.13275621D+05 105.9144288 0.0079150 EM
7 -0.13188841D+05 86.7800157 0.0065368 EM
8 -0.13131886D+05 56.9545141 0.0043184 EM
9 -0.13092821D+05 39.0649351 0.0029748 EM
10 -0.13062234D+05 30.5879527 0.0023362 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15980647D+05 0.0000000 0.0000000 EM
2 -0.13457088D+05 2523.5595607 0.1579135 EM
3 -0.13304048D+05 153.0394745 0.0113724 EM
4 -0.13221151D+05 82.8972691 0.0062310 EM
5 -0.13156008D+05 65.1433179 0.0049272 EM
6 -0.13093605D+05 62.4024150 0.0047433 EM
7 -0.13037726D+05 55.8794196 0.0042677 EM
8 -0.12995792D+05 41.9341531 0.0032164 EM
9 -0.12968420D+05 27.3718248 0.0021062 EM
10 -0.12951128D+05 17.2917816 0.0013334 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16758461D+05 0.0000000 0.0000000 EM
2 -0.13559111D+05 3199.3501540 0.1909095 EM
3 -0.13420298D+05 138.8125070 0.0102376 EM
4 -0.13344997D+05 75.3007956 0.0056110 EM
5 -0.13293917D+05 51.0801746 0.0038277 EM
6 -0.13247274D+05 46.6427426 0.0035086 EM
7 -0.13200775D+05 46.4992398 0.0035101 EM
8 -0.13160727D+05 40.0475939 0.0030337 EM
9 -0.13130726D+05 30.0019007 0.0022797 EM
10 -0.13108831D+05 21.8942423 0.0016674 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17588025D+05 0.0000000 0.0000000 EM
2 -0.13600131D+05 3987.8934058 0.2267391 EM
3 -0.13353545D+05 246.5868076 0.0181312 EM
4 -0.13180093D+05 173.4514136 0.0129892 EM
5 -0.13050243D+05 129.8501067 0.0098520 EM
6 -0.12977904D+05 72.3392137 0.0055431 EM
7 -0.12946180D+05 31.7240830 0.0024445 EM
8 -0.12931477D+05 14.7027615 0.0011357 EM
9 -0.12923175D+05 8.3023613 0.0006420 EM
10 -0.12917858D+05 5.3161751 0.0004114 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19579979D+05 0.0000000 0.0000000 EM
2 -0.13517373D+05 6062.6056942 0.3096329 EM
3 -0.13282409D+05 234.9647034 0.0173824 EM
4 -0.13201002D+05 81.4070024 0.0061289 EM
5 -0.13150227D+05 50.7747433 0.0038463 EM
6 -0.13107202D+05 43.0250529 0.0032718 EM
7 -0.13068004D+05 39.1977893 0.0029906 EM
8 -0.13034206D+05 33.7980827 0.0025863 EM
9 -0.13007133D+05 27.0723595 0.0020770 EM
10 -0.12986145D+05 20.9886822 0.0016136 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18626381D+05 0.0000000 0.0000000 EM
2 -0.13417673D+05 5208.7081323 0.2796415 EM
3 -0.13120906D+05 296.7667770 0.0221176 EM
4 -0.13057137D+05 63.7688095 0.0048601 EM
5 -0.13028844D+05 28.2930262 0.0021669 EM
6 -0.13016583D+05 12.2607554 0.0009410 EM
7 -0.13010556D+05 6.0272563 0.0004630 EM
8 -0.13006975D+05 3.5808708 0.0002752 EM
9 -0.13004507D+05 2.4681167 0.0001898 EM
10 -0.13002617D+05 1.8902686 0.0001454 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17534832D+05 0.0000000 0.0000000 EM
2 -0.13429190D+05 4105.6421604 0.2341421 EM
3 -0.13243331D+05 185.8589614 0.0138399 EM
4 -0.13140867D+05 102.4642889 0.0077370 EM
5 -0.13063385D+05 77.4819501 0.0058963 EM
6 -0.13015326D+05 48.0594300 0.0036789 EM
7 -0.12988701D+05 26.6243837 0.0020456 EM
8 -0.12972007D+05 16.6939971 0.0012853 EM
9 -0.12959723D+05 12.2839503 0.0009470 EM
10 -0.12949922D+05 9.8012058 0.0007563 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19188343D+05 0.0000000 0.0000000 EM
2 -0.13292802D+05 5895.5410828 0.3072460 EM
3 -0.13148624D+05 144.1784327 0.0108464 EM
4 -0.13106288D+05 42.3363304 0.0032198 EM
5 -0.13073017D+05 33.2710198 0.0025386 EM
6 -0.13047262D+05 25.7540639 0.0019700 EM
7 -0.13029507D+05 17.7551295 0.0013608 EM
8 -0.13018602D+05 10.9049122 0.0008369 EM
9 -0.13012374D+05 6.2287856 0.0004785 EM
10 -0.13008859D+05 3.5142574 0.0002701 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
10 -0.12917858D+05 5.3161751 0.0004114 EM
11 -0.12914242D+05 3.6162939 0.0002799 EM
12 -0.12911690D+05 2.5517372 0.0001976 EM
13 -0.12909840D+05 1.8508195 0.0001433 EM
14 -0.12908467D+05 1.3723041 0.0001063 EM
15 -0.12907431D+05 1.0358889 0.0000802 EM
16 -0.12906638D+05 0.7937785 0.0000615 EM
17 -0.12906021D+05 0.6163413 0.0000478 EM
18 -0.12905537D+05 0.4844407 0.0000375 EM
19 -0.12905152D+05 0.3852528 0.0000299 EM
20 -0.12904842D+05 0.3099222 0.0000240 EM
21 -0.12904589D+05 0.2521952 0.0000195 EM
22 -0.12904382D+05 0.2075815 0.0000161 EM
23 -0.12904209D+05 0.1728180 0.0000134 EM
24 -0.12904064D+05 0.1455096 0.0000113 EM
25 -0.12903940D+05 0.1238847 0.0000096 EM
26 -0.12903833D+05 0.1066228 0.0000083 EM
27 -0.12903740D+05 0.0927331 0.0000072 EM
28 -0.12903659D+05 0.0814668 0.0000063 EM
29 -0.12903587D+05 0.0722545 0.0000056 EM
30 -0.12903522D+05 0.0646605 0.0000050 EM
31 -0.12903464D+05 0.0583490 0.0000045 EM
32 -0.12903410D+05 0.0530599 0.0000041 EM
33 -0.12903362D+05 0.0485904 0.0000038 EM
34 -0.12903317D+05 0.0447817 0.0000035 EM
35 -0.12903276D+05 0.0415085 0.0000032 EM
36 -0.12903237D+05 0.0386718 0.0000030 EM
37 -0.12903201D+05 0.0361929 0.0000028 EM
38 -0.12903167D+05 0.0340090 0.0000026 EM
39 -0.12903135D+05 0.0320696 0.0000025 EM
40 -0.12903104D+05 0.0303344 0.0000024 EM
41 -0.12903076D+05 0.0287705 0.0000022 EM
42 -0.12903048D+05 0.0273515 0.0000021 EM
43 -0.12903022D+05 0.0260559 0.0000020 EM
44 -0.12902997D+05 0.0248661 0.0000019 EM
45 -0.12902974D+05 0.0237678 0.0000018 EM
46 -0.12902951D+05 0.0227492 0.0000018 EM
47 -0.12902929D+05 0.0218004 0.0000017 EM
48 -0.12902908D+05 0.0209135 0.0000016 EM
49 -0.12902888D+05 0.0200817 0.0000016 EM
50 -0.12902869D+05 0.0192994 0.0000015 EM
51 -0.12902850D+05 0.0185618 0.0000014 EM
52 -0.12902832D+05 0.0178648 0.0000014 EM
53 -0.12902815D+05 0.0172051 0.0000013 EM
54 -0.12902798D+05 0.0165796 0.0000013 EM
55 -0.12902782D+05 0.0159858 0.0000012 EM
56 -0.12902767D+05 0.0154215 0.0000012 EM
57 -0.12902752D+05 0.0148846 0.0000012 EM
58 -0.12902738D+05 0.0143733 0.0000011 EM
59 -0.12902724D+05 0.0138862 0.0000011 EM
60 -0.12902710D+05 0.0134218 0.0000010 EM
61 -0.12902698D+05 0.0129787 0.0000010 EM
62 -0.12902685D+05 0.0125558 0.0000010 EM
63 -0.12902673D+05 0.0121520 0.0000009 EM
64 -0.12902661D+05 0.0117662 0.0000009 EM
65 -0.12902650D+05 0.0113976 0.0000009 EM
66 -0.12902639D+05 0.0110452 0.0000009 EM
67 -0.12902628D+05 0.0107082 0.0000008 EM
68 -0.12902618D+05 0.0103858 0.0000008 EM
69 -0.12902607D+05 0.0100773 0.0000008 EM
70 -0.12902598D+05 0.0097820 0.0000008 EM
71 -0.12902140D+05 0.4573774 0.0000354 QN
72 -0.12902140D+05 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
10 -0.12930315D+05 12.7504318 0.0009851 EM
11 -0.12921047D+05 9.2674934 0.0007167 EM
12 -0.12914946D+05 6.1014469 0.0004722 EM
13 -0.12911213D+05 3.7327234 0.0002890 EM
14 -0.12909010D+05 2.2030041 0.0001706 EM
15 -0.12907705D+05 1.3054531 0.0001011 EM
16 -0.12906901D+05 0.8035331 0.0000623 EM
17 -0.12906376D+05 0.5249472 0.0000407 EM
18 -0.12906010D+05 0.3666732 0.0000284 EM
19 -0.12905737D+05 0.2727884 0.0000211 EM
20 -0.12905523D+05 0.2140893 0.0000166 EM
21 -0.12905347D+05 0.1753459 0.0000136 EM
22 -0.12905199D+05 0.1484350 0.0000115 EM
23 -0.12905070D+05 0.1288674 0.0000100 EM
24 -0.12904956D+05 0.1140587 0.0000088 EM
25 -0.12904854D+05 0.1024604 0.0000079 EM
26 -0.12904760D+05 0.0931087 0.0000072 EM
27 -0.12904675D+05 0.0853834 0.0000066 EM
28 -0.12904596D+05 0.0788723 0.0000061 EM
29 -0.12904523D+05 0.0732934 0.0000057 EM
30 -0.12904454D+05 0.0684484 0.0000053 EM
31 -0.12904390D+05 0.0641942 0.0000050 EM
32 -0.12904330D+05 0.0604247 0.0000047 EM
33 -0.12904273D+05 0.0570593 0.0000044 EM
34 -0.12903647D+05 0.6259778 0.0000485 FS
35 -0.12902392D+05 1.2548271 0.0000972 FS
36 -0.12902260D+05 0.1316621 0.0000102 FS
37 -0.12902207D+05 0.0529323 0.0000041 FS
38 -0.12902183D+05 0.0239102 0.0000019 FS
39 -0.12902177D+05 0.0068138 0.0000005 FS
40 -0.12902168D+05 0.0086957 0.0000007 FS
41 -0.12902166D+05 0.0022912 0.0000002 FS
42 -0.12902161D+05 0.0049098 0.0000004 FS
43 -0.12902159D+05 0.0015015 0.0000001 FS
44 -0.12902156D+05 0.0033207 0.0000003 FS
45 -0.12902155D+05 0.0012085 0.0000001 FS
46 -0.12902152D+05 0.0023916 0.0000002 FS
47 -0.12902151D+05 0.0009989 0.0000001 FS
48 -0.12902150D+05 0.0017620 0.0000001 FS
49 -0.12902149D+05 0.0008190 0.0000001 FS
50 -0.12902147D+05 0.0013107 0.0000001 FS
51 -0.12902147D+05 0.0006640 0.0000001 FS
52 -0.12902146D+05 0.0009800 0.0000001 FS
53 -0.12902145D+05 0.0005333 0.0000000 FS
54 -0.12902145D+05 0.0007354 0.0000001 FS
55 -0.12902144D+05 0.0004253 0.0000000 FS
56 -0.12902144D+05 0.0005534 0.0000000 FS
57 -0.12902143D+05 0.0003372 0.0000000 FS
58 -0.12902143D+05 0.0004174 0.0000000 FS
59 -0.12902143D+05 0.0002662 0.0000000 FS
60 -0.12902142D+05 0.0003155 0.0000000 FS
61 -0.12902142D+05 0.0002093 0.0000000 FS
62 -0.12902142D+05 0.0002389 0.0000000 FS
63 -0.12902142D+05 0.0001641 0.0000000 FS
64 -0.12902141D+05 0.0001812 0.0000000 FS
65 -0.12902141D+05 0.0001283 0.0000000 FS
66 -0.12902141D+05 0.0001377 0.0000000 FS
67 -0.12902141D+05 0.0001001 0.0000000 FS
68 -0.12902141D+05 0.0001048 0.0000000 FS
69 -0.12902141D+05 0.0000779 0.0000000 FS
70 -0.12902141D+05 0.0000798 0.0000000 FS
71 -0.12902141D+05 0.0000606 0.0000000 FS
72 -0.12902141D+05 0.0000609 0.0000000 FS
73 -0.12902141D+05 0.0000470 0.0000000 FS
74 -0.12902141D+05 0.0000465 0.0000000 FS
75 -0.12902141D+05 0.0000365 0.0000000 FS
76 -0.12902141D+05 0.0000355 0.0000000 FS
77 -0.12902140D+05 0.0000282 0.0000000 FS
78 -0.12902140D+05 0.0000271 0.0000000 FS
79 -0.12902140D+05 0.0000218 0.0000000 FS
80 -0.12902140D+05 0.0000208 0.0000000 FS
81 -0.12902140D+05 0.0000169 0.0000000 FS
82 -0.12902140D+05 0.0000159 0.0000000 FS
83 -0.12902140D+05 0.0000131 0.0000000 FS
84 -0.12902140D+05 0.0000122 0.0000000 FS
85 -0.12902140D+05 0.0000303 0.0000000 EM
86 -0.12902140D+05 0.0000174 0.0000000 EM
87 -0.12902140D+05 0.0000105 0.0000000 EM
88 -0.12902140D+05 0.0000065 0.0000000 EM
89 -0.12902140D+05 0.0000042 0.0000000 EM
90 -0.12902140D+05 0.0000027 0.0000000 EM
91 -0.12902140D+05 0.0000018 0.0000000 EM
92 -0.12902140D+05 0.0000013 0.0000000 EM
93 -0.12902140D+05 0.0000009 0.0000000 EM
94 -0.12902140D+05 0.0000007 0.0000000 EM
95 -0.12902140D+05 0.0000005 0.0000000 EM
96 -0.12902140D+05 0.0000004 0.0000000 EM
97 -0.12902140D+05 0.0000003 0.0000000 EM
98 -0.12902140D+05 0.0000003 0.0000000 EM
99 -0.12902140D+05 0.0000002 0.0000000 EM
100 -0.12902140D+05 0.0000002 0.0000000 EM
101 -0.12902140D+05 0.0000002 0.0000000 EM
102 -0.12902140D+05 0.0000002 0.0000000 EM
103 -0.12902140D+05 0.0000001 0.0000000 EM
104 -0.12902140D+05 0.0000001 0.0000000 EM
105 -0.12902140D+05 0.0000001 0.0000000 EM
106 -0.12902140D+05 0.0000001 0.0000000 EM
107 -0.12902140D+05 0.0000001 0.0000000 EM
108 -0.12902140D+05 0.0000001 0.0000000 EM
109 -0.12902140D+05 0.0000001 0.0000000 EM
110 -0.12902140D+05 0.0000001 0.0000000 EM
111 -0.12902140D+05 0.0000001 0.0000000 EM
112 -0.12902140D+05 0.0000001 0.0000000 EM
113 -0.12902140D+05 0.0000001 0.0000000 EM
114 -0.12902140D+05 0.0000001 0.0000000 EM
115 -0.12902140D+05 0.0000001 0.0000000 EM
116 -0.12902140D+05 0.0000001 0.0000000 EM
117 -0.12902140D+05 0.0000001 0.0000000 EM
118 -0.12902140D+05 0.0000001 0.0000000 EM
119 -0.12902140D+05 0.0000001 0.0000000 EM
120 -0.12902140D+05 0.0000001 0.0000000 EM
121 -0.12902140D+05 0.0000001 0.0000000 EM
122 -0.12902140D+05 0.0000001 0.0000000 EM
123 -0.12902140D+05 0.0000001 0.0000000 EM
124 -0.12902140D+05 0.0000001 0.0000000 EM
125 -0.12902140D+05 0.0000001 0.0000000 EM
126 -0.12902140D+05 0.0000001 0.0000000 EM
127 -0.12902140D+05 0.0000001 0.0000000 EM
128 -0.12902140D+05 0.0000001 0.0000000 EM
129 -0.12902140D+05 0.0000001 0.0000000 EM
130 -0.12902140D+05 0.0000034 0.0000000 QN
131 -0.12902140D+05 0.0000000 0.0000000 EM
Available post-processing tools
Conditional probabilities and odds for the latent class variables
Beginning Time: 23:13:35
Ending Time: 23:13:39
Elapsed Time: 00:00:04
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