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 binary
covariate influencing the latent transition probabilities
DATA: FILE = ex8.13.dat;
VARIABLE: NAMES = u11-u15 u21-u25 g;
CATEGORICAL = u11-u15 u21-u25;
CLASSES = cg (2) c1 (3) c2 (3);
KNOWNCLASS = cg (g = 0 g = 1);
ANALYSIS: TYPE = MIXTURE;
PARAMETERIZATION = PROBABILITY;
MODEL: %OVERALL%
c1 ON cg;
MODEL cg: %cg#1%
c2 ON c1;
%cg#2%
c2 ON c1;
MODEL c1: %c1#1%
[u11$1] (1);
[u12$1] (2);
[u13$1] (3);
[u14$1] (4);
[u15$1] (5);
%c1#2%
[u11$1] (6);
[u12$1] (7);
[u13$1] (8);
[u14$1] (9);
[u15$1] (10);
%c1#3%
[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 TECH15;
INPUT READING TERMINATED NORMALLY
this is an example of a LTA for two time points with a binary
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 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
Categorical latent variables
CG C1 C2
Knownclass CG
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
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 PROBABILITY
Link LOGIT
Input data file(s)
ex8.13.dat
Input data format FREE
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
U11
Category 1 0.589 1178.000
Category 2 0.411 822.000
U12
Category 1 0.588 1176.000
Category 2 0.412 824.000
U13
Category 1 0.431 863.000
Category 2 0.569 1137.000
U14
Category 1 0.445 890.000
Category 2 0.555 1110.000
U15
Category 1 0.429 858.000
Category 2 0.571 1142.000
U21
Category 1 0.512 1025.000
Category 2 0.487 975.000
U22
Category 1 0.518 1037.000
Category 2 0.481 963.000
U23
Category 1 0.406 812.000
Category 2 0.594 1188.000
U24
Category 1 0.408 817.000
Category 2 0.592 1183.000
U25
Category 1 0.418 837.000
Category 2 0.582 1163.000
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:
-14596.240 127215 9
-14596.240 93468 3
-14596.240 68985 17
-14596.240 195873 6
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 32
Loglikelihood
H0 Value -14596.240
H0 Scaling Correction Factor 1.0326
for MLR
Information Criteria
Akaike (AIC) 29256.479
Bayesian (BIC) 29435.708
Sample-Size Adjusted BIC 29334.042
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Value 1998.773
Degrees of Freedom 2015
P-Value 0.5974
Likelihood Ratio Chi-Square
Value 2121.420
Degrees of Freedom 2015
P-Value 0.0486
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
CG 1 1007.00000 0.50350
2 992.99994 0.49650
C1 1 549.30170 0.27465
2 752.69324 0.37635
3 698.00507 0.34900
C2 1 882.45410 0.44123
2 652.27887 0.32614
3 465.26703 0.23263
LATENT CLASS INDICATOR MEANS AND PROBABILITIES FOR EACH LATENT CLASS
MEAN/PROBABILITY PROFILES FOR C1
Latent class
1 2 3
U11
Category 1 0.222 0.743 0.723
Category 2 0.778 0.257 0.277
U12
Category 1 0.290 0.723 0.672
Category 2 0.710 0.277 0.328
U13
Category 1 0.274 0.703 0.254
Category 2 0.726 0.297 0.746
U14
Category 1 0.261 0.696 0.305
Category 2 0.739 0.304 0.695
U15
Category 1 0.302 0.719 0.217
Category 2 0.698 0.281 0.783
MEAN/PROBABILITY PROFILES FOR C2
Latent class
1 2 3
U21
Category 1 0.222 0.743 0.723
Category 2 0.778 0.257 0.277
U22
Category 1 0.290 0.723 0.672
Category 2 0.710 0.277 0.328
U23
Category 1 0.274 0.703 0.254
Category 2 0.726 0.297 0.746
U24
Category 1 0.261 0.696 0.305
Category 2 0.739 0.304 0.695
U25
Category 1 0.302 0.719 0.217
Category 2 0.698 0.281 0.783
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
CG Classes (Rows) by C1 Classes (Columns)
1 2 3
1 0.265 0.544 0.191
2 0.284 0.207 0.509
C1 Classes (Rows) by C2 Classes (Columns)
1 2 3
1 0.588 0.206 0.207
2 0.284 0.462 0.254
3 0.495 0.275 0.230
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 Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 1.000 0.000
2 0.000 1.000
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 13.816 0.000
2 -13.816 0.000
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 0.713 0.090 0.198
2 0.078 0.774 0.147
3 0.188 0.119 0.693
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 0.647 0.115 0.238
2 0.059 0.831 0.109
3 0.141 0.170 0.688
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 1.003 -0.723 0.000
2 -0.608 2.029 0.000
3 -1.582 -1.395 0.000
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 0.745 0.089 0.166
2 0.127 0.742 0.132
3 0.210 0.147 0.644
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 0.822 0.100 0.078
2 0.133 0.793 0.074
3 0.348 0.197 0.455
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 2.353 0.248 0.000
2 0.591 2.373 0.000
3 -0.270 -0.838 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 -1.253 0.279 -4.492 0.000
U12$1 -0.895 0.203 -4.404 0.000
U13$1 -0.974 0.099 -9.870 0.000
U14$1 -1.039 0.110 -9.447 0.000
U15$1 -0.838 0.096 -8.741 0.000
Latent Class C1#2
Thresholds
U11$1 1.061 0.101 10.544 0.000
U12$1 0.959 0.086 11.116 0.000
U13$1 0.860 0.120 7.144 0.000
U14$1 0.829 0.107 7.714 0.000
U15$1 0.941 0.126 7.484 0.000
Latent Class C1#3
Thresholds
U11$1 0.960 0.309 3.104 0.002
U12$1 0.718 0.209 3.442 0.001
U13$1 -1.078 0.173 -6.235 0.000
U14$1 -0.824 0.147 -5.623 0.000
U15$1 -1.286 0.247 -5.217 0.000
Parameters for Class-specific Model Parts of C2
Latent Class C2#1
Thresholds
U21$1 -1.253 0.279 -4.492 0.000
U22$1 -0.895 0.203 -4.404 0.000
U23$1 -0.974 0.099 -9.870 0.000
U24$1 -1.039 0.110 -9.447 0.000
U25$1 -0.838 0.096 -8.741 0.000
Latent Class C2#2
Thresholds
U21$1 1.061 0.101 10.544 0.000
U22$1 0.959 0.086 11.116 0.000
U23$1 0.860 0.120 7.144 0.000
U24$1 0.829 0.107 7.714 0.000
U25$1 0.941 0.126 7.484 0.000
Latent Class C2#3
Thresholds
U21$1 0.960 0.309 3.104 0.002
U22$1 0.718 0.209 3.442 0.001
U23$1 -1.078 0.173 -6.235 0.000
U24$1 -0.824 0.147 -5.623 0.000
U25$1 -1.286 0.247 -5.217 0.000
Categorical Latent Variables
C1#1 ON
CG#1 0.265 0.043 6.110 0.000
CG#2 0.284 0.077 3.697 0.000
C1#2 ON
CG#1 0.544 0.034 16.011 0.000
CG#2 0.207 0.040 5.159 0.000
Means
CG#1 0.503 0.011 45.035 0.000
Latent Class CG#1
C2#1 ON
C1#1 0.467 0.119 3.938 0.000
C1#2 0.298 0.067 4.416 0.000
C1#3 0.547 0.130 4.220 0.000
C2#2 ON
C1#1 0.138 0.061 2.272 0.023
C1#2 0.552 0.045 12.351 0.000
C1#3 0.259 0.101 2.563 0.010
Latent Class CG#2
C2#1 ON
C1#1 0.702 0.081 8.663 0.000
C1#2 0.249 0.107 2.328 0.020
C1#3 0.475 0.090 5.286 0.000
C2#2 ON
C1#1 0.269 0.068 3.962 0.000
C1#2 0.220 0.084 2.628 0.009
C1#3 0.281 0.053 5.305 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.738E-03
(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 0.222 0.048 4.609 0.000
Category 2 0.778 0.048 16.135 0.000
U12
Category 1 0.290 0.042 6.932 0.000
Category 2 0.710 0.042 16.964 0.000
U13
Category 1 0.274 0.020 13.967 0.000
Category 2 0.726 0.020 36.976 0.000
U14
Category 1 0.261 0.021 12.316 0.000
Category 2 0.739 0.021 34.795 0.000
U15
Category 1 0.302 0.020 14.950 0.000
Category 2 0.698 0.020 34.549 0.000
Latent Class C1#2
U11
Category 1 0.743 0.019 38.648 0.000
Category 2 0.257 0.019 13.375 0.000
U12
Category 1 0.723 0.017 41.835 0.000
Category 2 0.277 0.017 16.035 0.000
U13
Category 1 0.703 0.025 27.941 0.000
Category 2 0.297 0.025 11.824 0.000
U14
Category 1 0.696 0.023 30.622 0.000
Category 2 0.304 0.023 13.363 0.000
U15
Category 1 0.719 0.025 28.330 0.000
Category 2 0.281 0.025 11.052 0.000
Latent Class C1#3
U11
Category 1 0.723 0.062 11.679 0.000
Category 2 0.277 0.062 4.472 0.000
U12
Category 1 0.672 0.046 14.618 0.000
Category 2 0.328 0.046 7.127 0.000
U13
Category 1 0.254 0.033 7.748 0.000
Category 2 0.746 0.033 22.779 0.000
U14
Category 1 0.305 0.031 9.810 0.000
Category 2 0.695 0.031 22.374 0.000
U15
Category 1 0.217 0.042 5.178 0.000
Category 2 0.783 0.042 18.736 0.000
Results for Class-specific Model Parts of C2
Latent Class C2#1
U21
Category 1 0.222 0.048 4.609 0.000
Category 2 0.778 0.048 16.135 0.000
U22
Category 1 0.290 0.042 6.932 0.000
Category 2 0.710 0.042 16.964 0.000
U23
Category 1 0.274 0.020 13.967 0.000
Category 2 0.726 0.020 36.976 0.000
U24
Category 1 0.261 0.021 12.316 0.000
Category 2 0.739 0.021 34.795 0.000
U25
Category 1 0.302 0.020 14.950 0.000
Category 2 0.698 0.020 34.549 0.000
Latent Class C2#2
U21
Category 1 0.743 0.019 38.648 0.000
Category 2 0.257 0.019 13.375 0.000
U22
Category 1 0.723 0.017 41.835 0.000
Category 2 0.277 0.017 16.035 0.000
U23
Category 1 0.703 0.025 27.941 0.000
Category 2 0.297 0.025 11.824 0.000
U24
Category 1 0.696 0.023 30.622 0.000
Category 2 0.304 0.023 13.363 0.000
U25
Category 1 0.719 0.025 28.330 0.000
Category 2 0.281 0.025 11.052 0.000
Latent Class C2#3
U21
Category 1 0.723 0.062 11.679 0.000
Category 2 0.277 0.062 4.472 0.000
U22
Category 1 0.672 0.046 14.618 0.000
Category 2 0.328 0.046 7.127 0.000
U23
Category 1 0.254 0.033 7.748 0.000
Category 2 0.746 0.033 22.779 0.000
U24
Category 1 0.305 0.031 9.810 0.000
Category 2 0.695 0.031 22.374 0.000
U25
Category 1 0.217 0.042 5.178 0.000
Category 2 0.783 0.042 18.736 0.000
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
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
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 1 1 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 1 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 1 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 1 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 1 1 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 1 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 1 2 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 1 2 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 1 2 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 1 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 1 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 1 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 1 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 1 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 1 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 1 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 1 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 2 1 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 2 1 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 2 1 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 2 1 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 2 1 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 2 1 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 2 2 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 2 2 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 2 2 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 2 2 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 2 2 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 2 2 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 2 3 1
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 2 3 1
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
-0.295 -0.285 -0.828 -0.796 -0.807
TAU(U) FOR LATENT CLASS PATTERN 2 3 2
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 2 3 2
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.205 0.215 -0.328 -0.296 -0.307
TAU(U) FOR LATENT CLASS PATTERN 2 3 3
U11$1 U12$1 U13$1 U14$1 U15$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
TAU(U) FOR LATENT CLASS PATTERN 2 3 3
U21$1 U22$1 U23$1 U24$1 U25$1
________ ________ ________ ________ ________
0.705 0.715 0.172 0.204 0.193
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 0.333 0.333
C1#2 0.333 0.333
C1#3 0.000 0.000
BETA(CC) FOR CG#1
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.333 0.333 0.333
C2#2 0.333 0.333 0.333
C2#3 0.000 0.000 0.000
BETA(CC) FOR CG#2
C1#1 C1#2 C1#3
________ ________ ________
C2#1 0.333 0.333 0.333
C2#2 0.333 0.333 0.333
C2#3 0.000 0.000 0.000
TECHNICAL 15 OUTPUT
ESTIMATED CONDITIONAL PROBABILITIES FOR THE LATENT CLASS VARIABLES
P(CG=1)=0.503
P(CG=2)=0.497
P(C1=1|CG=1)=0.265
P(C1=2|CG=1)=0.544
P(C1=3|CG=1)=0.191
P(C1=1|CG=2)=0.284
P(C1=2|CG=2)=0.207
P(C1=3|CG=2)=0.509
P(C2=1|CG=1,C1=1)=0.467
P(C2=2|CG=1,C1=1)=0.138
P(C2=3|CG=1,C1=1)=0.395
P(C2=1|CG=1,C1=2)=0.298
P(C2=2|CG=1,C1=2)=0.552
P(C2=3|CG=1,C1=2)=0.150
P(C2=1|CG=1,C1=3)=0.547
P(C2=2|CG=1,C1=3)=0.259
P(C2=3|CG=1,C1=3)=0.194
P(C2=1|CG=2,C1=1)=0.702
P(C2=2|CG=2,C1=1)=0.269
P(C2=3|CG=2,C1=1)=0.029
P(C2=1|CG=2,C1=2)=0.249
P(C2=2|CG=2,C1=2)=0.220
P(C2=3|CG=2,C1=2)=0.531
P(C2=1|CG=2,C1=3)=0.475
P(C2=2|CG=2,C1=3)=0.281
P(C2=3|CG=2,C1=3)=0.244
ESTIMATED MARGINAL PROBABILITIES FOR THE LATENT CLASS VARIABLES
P(C1=1)=0.275
P(C1=2)=0.376
P(C1=3)=0.349
P(C2=1)=0.441
P(C2=2)=0.326
P(C2=3)=0.233
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent Class
Pattern
1 1 1 124.54324 0.06227
1 1 2 36.88054 0.01844
1 1 3 105.42889 0.05271
1 2 1 162.99548 0.08150
1 2 2 302.47510 0.15124
1 2 3 82.14330 0.04107
1 3 1 105.28543 0.05264
1 3 2 49.81153 0.02491
1 3 3 37.43649 0.01872
2 1 1 198.30028 0.09915
2 1 2 76.06702 0.03803
2 1 3 8.08172 0.00404
2 2 1 51.04734 0.02552
2 2 2 45.21430 0.02261
2 2 3 108.81767 0.05441
2 3 1 240.28230 0.12014
2 3 2 141.83038 0.07092
2 3 3 123.35898 0.06168
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Pattern
1 1 1 124.54257 0.06227
1 1 2 36.88086 0.01844
1 1 3 105.43289 0.05272
1 2 1 162.99338 0.08150
1 2 2 302.47383 0.15124
1 2 3 82.14360 0.04107
1 3 1 105.28519 0.05264
1 3 2 49.81070 0.02491
1 3 3 37.43698 0.01872
2 1 1 198.30094 0.09915
2 1 2 76.06754 0.03803
2 1 3 8.08171 0.00404
2 2 1 51.04768 0.02552
2 2 2 45.21468 0.02261
2 2 3 108.81723 0.05441
2 3 1 240.28069 0.12014
2 3 2 141.83200 0.07092
2 3 3 123.35753 0.06168
LATENT CLASS INDICATOR ODDS RATIOS FOR THE LATENT CLASSES
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Results for Class-specific Model Parts of C1
Latent Class C1#1 Compared to Latent Class C1#2
U11
Category > 1 10.117 2.960 5.701 17.952
U12
Category > 1 6.385 1.366 4.198 9.710
U13
Category > 1 6.256 0.969 4.618 8.474
U14
Category > 1 6.474 1.015 4.761 8.803
U15
Category > 1 5.924 0.948 4.330 8.105
Latent Class C1#1 Compared to Latent Class C1#3
U11
Category > 1 9.143 2.984 4.822 17.333
U12
Category > 1 5.019 1.231 3.104 8.116
U13
Category > 1 0.900 0.203 0.579 1.401
U14
Category > 1 1.239 0.267 0.811 1.891
U15
Category > 1 0.639 0.186 0.361 1.131
Latent Class C1#2 Compared to Latent Class C1#3
U11
Category > 1 0.904 0.285 0.487 1.676
U12
Category > 1 0.786 0.180 0.502 1.231
U13
Category > 1 0.144 0.027 0.100 0.208
U14
Category > 1 0.191 0.032 0.139 0.264
U15
Category > 1 0.108 0.026 0.067 0.173
Results for Class-specific Model Parts of C2
Latent Class C2#1 Compared to Latent Class C2#2
U21
Category > 1 10.117 2.960 5.701 17.952
U22
Category > 1 6.385 1.366 4.198 9.710
U23
Category > 1 6.256 0.969 4.618 8.474
U24
Category > 1 6.474 1.015 4.761 8.803
U25
Category > 1 5.924 0.948 4.330 8.105
Latent Class C2#1 Compared to Latent Class C2#3
U21
Category > 1 9.143 2.984 4.822 17.333
U22
Category > 1 5.019 1.231 3.104 8.116
U23
Category > 1 0.900 0.203 0.579 1.401
U24
Category > 1 1.239 0.267 0.811 1.891
U25
Category > 1 0.639 0.186 0.361 1.131
Latent Class C2#2 Compared to Latent Class C2#3
U21
Category > 1 0.904 0.285 0.487 1.676
U22
Category > 1 0.786 0.180 0.502 1.231
U23
Category > 1 0.144 0.027 0.100 0.208
U24
Category > 1 0.191 0.032 0.139 0.264
U25
Category > 1 0.108 0.026 0.067 0.173
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.14897569D+05 0.0000000 0.0000000 EM
2 -0.14800903D+05 96.6657834 0.0064887 EM
3 -0.14730834D+05 70.0697853 0.0047342 EM
4 -0.14696593D+05 34.2407259 0.0023244 EM
5 -0.14680986D+05 15.6070466 0.0010619 EM
6 -0.14671395D+05 9.5909843 0.0006533 EM
7 -0.14663224D+05 8.1708036 0.0005569 EM
8 -0.14654982D+05 8.2424488 0.0005621 EM
9 -0.14646193D+05 8.7888913 0.0005997 EM
10 -0.14636970D+05 9.2227560 0.0006297 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16144873D+05 0.0000000 0.0000000 EM
2 -0.14997257D+05 1147.6155676 0.0710824 EM
3 -0.14851705D+05 145.5521431 0.0097053 EM
4 -0.14772274D+05 79.4308246 0.0053483 EM
5 -0.14726919D+05 45.3553872 0.0030703 EM
6 -0.14701395D+05 25.5242092 0.0017332 EM
7 -0.14687349D+05 14.0459144 0.0009554 EM
8 -0.14679701D+05 7.6475893 0.0005207 EM
9 -0.14675426D+05 4.2755342 0.0002913 EM
10 -0.14672868D+05 2.5574404 0.0001743 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19680809D+05 0.0000000 0.0000000 EM
2 -0.15121296D+05 4559.5136210 0.2316731 EM
3 -0.14929433D+05 191.8629487 0.0126883 EM
4 -0.14848153D+05 81.2798853 0.0054443 EM
5 -0.14803262D+05 44.8907729 0.0030233 EM
6 -0.14772820D+05 30.4415930 0.0020564 EM
7 -0.14748165D+05 24.6553975 0.0016690 EM
8 -0.14725960D+05 22.2054124 0.0015056 EM
9 -0.14705107D+05 20.8527166 0.0014161 EM
10 -0.14685450D+05 19.6565294 0.0013367 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16844652D+05 0.0000000 0.0000000 EM
2 -0.15218850D+05 1625.8016287 0.0965174 EM
3 -0.15065126D+05 153.7240251 0.0101009 EM
4 -0.14940459D+05 124.6672284 0.0082752 EM
5 -0.14805325D+05 135.1343988 0.0090449 EM
6 -0.14701058D+05 104.2669580 0.0070425 EM
7 -0.14649357D+05 51.7011437 0.0035168 EM
8 -0.14627682D+05 21.6750711 0.0014796 EM
9 -0.14616880D+05 10.8013617 0.0007384 EM
10 -0.14610359D+05 6.5209926 0.0004461 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17060330D+05 0.0000000 0.0000000 EM
2 -0.14995932D+05 2064.3981057 0.1210058 EM
3 -0.14849749D+05 146.1827396 0.0097482 EM
4 -0.14792752D+05 56.9970959 0.0038383 EM
5 -0.14765015D+05 27.7369088 0.0018750 EM
6 -0.14747407D+05 17.6080649 0.0011926 EM
7 -0.14733785D+05 13.6216636 0.0009237 EM
8 -0.14722102D+05 11.6837022 0.0007930 EM
9 -0.14711582D+05 10.5192943 0.0007145 EM
10 -0.14701913D+05 9.6691925 0.0006573 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18275944D+05 0.0000000 0.0000000 EM
2 -0.15006768D+05 3269.1765619 0.1788787 EM
3 -0.14850725D+05 156.0422932 0.0103981 EM
4 -0.14789162D+05 61.5635574 0.0041455 EM
5 -0.14755112D+05 34.0496628 0.0023023 EM
6 -0.14733830D+05 21.2822877 0.0014424 EM
7 -0.14720079D+05 13.7512325 0.0009333 EM
8 -0.14710442D+05 9.6362609 0.0006546 EM
9 -0.14703027D+05 7.4155377 0.0005041 EM
10 -0.14696980D+05 6.0469879 0.0004113 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18852916D+05 0.0000000 0.0000000 EM
2 -0.15005424D+05 3847.4916915 0.2040794 EM
3 -0.14728742D+05 276.6815356 0.0184388 EM
4 -0.14670835D+05 57.9078910 0.0039316 EM
5 -0.14649427D+05 21.4077610 0.0014592 EM
6 -0.14638501D+05 10.9262202 0.0007458 EM
7 -0.14631180D+05 7.3210336 0.0005001 EM
8 -0.14625541D+05 5.6390497 0.0003854 EM
9 -0.14620945D+05 4.5957491 0.0003142 EM
10 -0.14617131D+05 3.8138894 0.0002609 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.21683568D+05 0.0000000 0.0000000 EM
2 -0.15194603D+05 6488.9657953 0.2992573 EM
3 -0.14889424D+05 305.1782241 0.0200846 EM
4 -0.14785192D+05 104.2327006 0.0070005 EM
5 -0.14730250D+05 54.9416805 0.0037160 EM
6 -0.14696538D+05 33.7120914 0.0022886 EM
7 -0.14674671D+05 21.8669665 0.0014879 EM
8 -0.14659967D+05 14.7042368 0.0010020 EM
9 -0.14649585D+05 10.3820471 0.0007082 EM
10 -0.14641868D+05 7.7170078 0.0005268 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18658318D+05 0.0000000 0.0000000 EM
2 -0.14919020D+05 3739.2984607 0.2004092 EM
3 -0.14788899D+05 130.1206230 0.0087218 EM
4 -0.14740032D+05 48.8670055 0.0033043 EM
5 -0.14711836D+05 28.1956342 0.0019129 EM
6 -0.14694873D+05 16.9634306 0.0011530 EM
7 -0.14684433D+05 10.4396848 0.0007104 EM
8 -0.14677283D+05 7.1497250 0.0004869 EM
9 -0.14671445D+05 5.8381091 0.0003978 EM
10 -0.14665844D+05 5.6010319 0.0003818 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19272448D+05 0.0000000 0.0000000 EM
2 -0.14976444D+05 4296.0039849 0.2229091 EM
3 -0.14769316D+05 207.1281919 0.0138303 EM
4 -0.14702111D+05 67.2051452 0.0045503 EM
5 -0.14666201D+05 35.9097290 0.0024425 EM
6 -0.14645855D+05 20.3463676 0.0013873 EM
7 -0.14634190D+05 11.6646484 0.0007964 EM
8 -0.14627134D+05 7.0561559 0.0004822 EM
9 -0.14622524D+05 4.6098565 0.0003152 EM
10 -0.14619300D+05 3.2236136 0.0002205 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.20689959D+05 0.0000000 0.0000000 EM
2 -0.14877024D+05 5812.9354990 0.2809544 EM
3 -0.14823471D+05 53.5523071 0.0035997 EM
4 -0.14796038D+05 27.4332997 0.0018507 EM
5 -0.14770274D+05 25.7643974 0.0017413 EM
6 -0.14747055D+05 23.2184435 0.0015720 EM
7 -0.14729443D+05 17.6126336 0.0011943 EM
8 -0.14717869D+05 11.5739860 0.0007858 EM
9 -0.14710440D+05 7.4281146 0.0005047 EM
10 -0.14705262D+05 5.1783747 0.0003520 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17342029D+05 0.0000000 0.0000000 EM
2 -0.14749313D+05 2592.7162563 0.1495048 EM
3 -0.14691637D+05 57.6758231 0.0039104 EM
4 -0.14664559D+05 27.0782893 0.0018431 EM
5 -0.14649930D+05 14.6291167 0.0009976 EM
6 -0.14640764D+05 9.1652758 0.0006256 EM
7 -0.14634309D+05 6.4551093 0.0004409 EM
8 -0.14629417D+05 4.8922908 0.0003343 EM
9 -0.14625550D+05 3.8666209 0.0002643 EM
10 -0.14622416D+05 3.1339103 0.0002143 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15985086D+05 0.0000000 0.0000000 EM
2 -0.14888494D+05 1096.5922917 0.0686010 EM
3 -0.14801625D+05 86.8686571 0.0058346 EM
4 -0.14754911D+05 46.7136186 0.0031560 EM
5 -0.14724862D+05 30.0493720 0.0020366 EM
6 -0.14705004D+05 19.8580287 0.0013486 EM
7 -0.14692326D+05 12.6783771 0.0008622 EM
8 -0.14684417D+05 7.9084519 0.0005383 EM
9 -0.14679387D+05 5.0303803 0.0003426 EM
10 -0.14675992D+05 3.3947461 0.0002313 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.22812759D+05 0.0000000 0.0000000 EM
2 -0.15018423D+05 7794.3359057 0.3416656 EM
3 -0.14829538D+05 188.8847952 0.0125769 EM
4 -0.14754958D+05 74.5803996 0.0050292 EM
5 -0.14710035D+05 44.9227593 0.0030446 EM
6 -0.14678914D+05 31.1209480 0.0021156 EM
7 -0.14656901D+05 22.0132156 0.0014996 EM
8 -0.14641512D+05 15.3895169 0.0010500 EM
9 -0.14630831D+05 10.6808467 0.0007295 EM
10 -0.14623375D+05 7.4560860 0.0005096 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.23618434D+05 0.0000000 0.0000000 EM
2 -0.15238811D+05 8379.6229942 0.3547916 EM
3 -0.14947895D+05 290.9161774 0.0190905 EM
4 -0.14857265D+05 90.6297226 0.0060630 EM
5 -0.14815679D+05 41.5859304 0.0027990 EM
6 -0.14789492D+05 26.1867273 0.0017675 EM
7 -0.14769661D+05 19.8309250 0.0013409 EM
8 -0.14753886D+05 15.7752097 0.0010681 EM
9 -0.14741261D+05 12.6255728 0.0008557 EM
10 -0.14731093D+05 10.1674748 0.0006897 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19018993D+05 0.0000000 0.0000000 EM
2 -0.14963896D+05 4055.0975636 0.2132131 EM
3 -0.14825732D+05 138.1633083 0.0092331 EM
4 -0.14786766D+05 38.9663051 0.0026283 EM
5 -0.14761330D+05 25.4362122 0.0017202 EM
6 -0.14738055D+05 23.2744610 0.0015767 EM
7 -0.14715680D+05 22.3754087 0.0015182 EM
8 -0.14694883D+05 20.7967772 0.0014132 EM
9 -0.14676474D+05 18.4091214 0.0012528 EM
10 -0.14660785D+05 15.6886473 0.0010690 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17669832D+05 0.0000000 0.0000000 EM
2 -0.14944157D+05 2725.6744576 0.1542558 EM
3 -0.14821450D+05 122.7073012 0.0082111 EM
4 -0.14776347D+05 45.1029743 0.0030431 EM
5 -0.14751136D+05 25.2113935 0.0017062 EM
6 -0.14729627D+05 21.5090043 0.0014581 EM
7 -0.14710611D+05 19.0157625 0.0012910 EM
8 -0.14695836D+05 14.7752354 0.0010044 EM
9 -0.14685776D+05 10.0597215 0.0006845 EM
10 -0.14679445D+05 6.3313061 0.0004311 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.23949532D+05 0.0000000 0.0000000 EM
2 -0.15287606D+05 8661.9265932 0.3616741 EM
3 -0.14953913D+05 333.6926119 0.0218277 EM
4 -0.14779821D+05 174.0925414 0.0116419 EM
5 -0.14681899D+05 97.9219964 0.0066254 EM
6 -0.14636823D+05 45.0753107 0.0030701 EM
7 -0.14617650D+05 19.1728999 0.0013099 EM
8 -0.14609039D+05 8.6116373 0.0005891 EM
9 -0.14604750D+05 4.2885772 0.0002936 EM
10 -0.14602364D+05 2.3866604 0.0001634 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19688311D+05 0.0000000 0.0000000 EM
2 -0.15019717D+05 4668.5933044 0.2371251 EM
3 -0.14785819D+05 233.8987277 0.0155728 EM
4 -0.14719233D+05 66.5856978 0.0045033 EM
5 -0.14692325D+05 26.9080110 0.0018281 EM
6 -0.14678822D+05 13.5031322 0.0009191 EM
7 -0.14670441D+05 8.3804608 0.0005709 EM
8 -0.14664293D+05 6.1479598 0.0004191 EM
9 -0.14659214D+05 5.0795999 0.0003464 EM
10 -0.14654662D+05 4.5520731 0.0003105 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.20777924D+05 0.0000000 0.0000000 EM
2 -0.14930534D+05 5847.3906772 0.2814232 EM
3 -0.14776869D+05 153.6652956 0.0102920 EM
4 -0.14722560D+05 54.3082475 0.0036752 EM
5 -0.14693231D+05 29.3292273 0.0019921 EM
6 -0.14675728D+05 17.5026750 0.0011912 EM
7 -0.14664811D+05 10.9177416 0.0007439 EM
8 -0.14657580D+05 7.2308776 0.0004931 EM
9 -0.14652433D+05 5.1467209 0.0003511 EM
10 -0.14648516D+05 3.9172565 0.0002673 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17306354D+05 0.0000000 0.0000000 EM
2 -0.15236992D+05 2069.3619834 0.1195724 EM
3 -0.14978353D+05 258.6384896 0.0169744 EM
4 -0.14831570D+05 146.7838320 0.0097997 EM
5 -0.14752611D+05 78.9587102 0.0053237 EM
6 -0.14715078D+05 37.5333307 0.0025442 EM
7 -0.14697146D+05 17.9312566 0.0012186 EM
8 -0.14687991D+05 9.1554774 0.0006229 EM
9 -0.14682575D+05 5.4157502 0.0003687 EM
10 -0.14678722D+05 3.8529751 0.0002624 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
10 -0.14602364D+05 2.3866604 0.0001634 EM
11 -0.14600892D+05 1.4711392 0.0001007 EM
12 -0.14599908D+05 0.9840206 0.0000674 EM
13 -0.14599211D+05 0.6978355 0.0000478 EM
14 -0.14598696D+05 0.5149346 0.0000353 EM
15 -0.14598305D+05 0.3904217 0.0000267 EM
16 -0.14598003D+05 0.3018237 0.0000207 EM
17 -0.14597767D+05 0.2368306 0.0000162 EM
18 -0.14597578D+05 0.1881200 0.0000129 EM
19 -0.14597427D+05 0.1510324 0.0000103 EM
20 -0.14597305D+05 0.1224471 0.0000084 EM
21 -0.14597205D+05 0.1001934 0.0000069 EM
22 -0.14597122D+05 0.0827200 0.0000057 EM
23 -0.14597053D+05 0.0688950 0.0000047 EM
24 -0.14596995D+05 0.0578799 0.0000040 EM
25 -0.14596946D+05 0.0490462 0.0000034 EM
26 -0.14596904D+05 0.0419175 0.0000029 EM
27 -0.14596868D+05 0.0361301 0.0000025 EM
28 -0.14596837D+05 0.0314041 0.0000022 EM
29 -0.14596809D+05 0.0275225 0.0000019 EM
30 -0.14596785D+05 0.0243163 0.0000017 EM
31 -0.14596763D+05 0.0216528 0.0000015 EM
32 -0.14596744D+05 0.0194275 0.0000013 EM
33 -0.14596726D+05 0.0175577 0.0000012 EM
34 -0.14596710D+05 0.0159776 0.0000011 EM
35 -0.14596696D+05 0.0146343 0.0000010 EM
36 -0.14596682D+05 0.0134857 0.0000009 EM
37 -0.14596670D+05 0.0124977 0.0000009 EM
38 -0.14596658D+05 0.0116428 0.0000008 EM
39 -0.14596339D+05 0.3188104 0.0000218 FS
40 -0.14596251D+05 0.0885712 0.0000061 FS
41 -0.14596243D+05 0.0081093 0.0000006 FS
42 -0.14596240D+05 0.0020330 0.0000001 FS
43 -0.14596240D+05 0.0005759 0.0000000 FS
44 -0.14596240D+05 0.0001749 0.0000000 FS
45 -0.14596240D+05 0.0000555 0.0000000 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
10 -0.14610359D+05 6.5209926 0.0004461 EM
11 -0.14606164D+05 4.1950403 0.0002871 EM
12 -0.14603450D+05 2.7144611 0.0001858 EM
13 -0.14601690D+05 1.7600593 0.0001205 EM
14 -0.14600531D+05 1.1588360 0.0000794 EM
15 -0.14599745D+05 0.7861082 0.0000538 EM
16 -0.14599190D+05 0.5547829 0.0000380 EM
17 -0.14598781D+05 0.4086268 0.0000280 EM
18 -0.14598468D+05 0.3134049 0.0000215 EM
19 -0.14598219D+05 0.2489476 0.0000171 EM
20 -0.14598015D+05 0.2035026 0.0000139 EM
21 -0.14597845D+05 0.1701829 0.0000117 EM
22 -0.14597700D+05 0.1448797 0.0000099 EM
23 -0.14597575D+05 0.1250775 0.0000086 EM
24 -0.14597466D+05 0.1091873 0.0000075 EM
25 -0.14597370D+05 0.0961721 0.0000066 EM
26 -0.14597285D+05 0.0853317 0.0000058 EM
27 -0.14597208D+05 0.0761783 0.0000052 EM
28 -0.14597140D+05 0.0683615 0.0000047 EM
29 -0.14597078D+05 0.0616228 0.0000042 EM
30 -0.14597023D+05 0.0557671 0.0000038 EM
31 -0.14596972D+05 0.0506436 0.0000035 EM
32 -0.14596926D+05 0.0461338 0.0000032 EM
33 -0.14596884D+05 0.0421434 0.0000029 EM
34 -0.14596845D+05 0.0385959 0.0000026 EM
35 -0.14596810D+05 0.0354289 0.0000024 EM
36 -0.14596777D+05 0.0325907 0.0000022 EM
37 -0.14596747D+05 0.0300383 0.0000021 EM
38 -0.14596311D+05 0.4359978 0.0000299 FS
39 -0.14596250D+05 0.0606384 0.0000042 FS
40 -0.14596242D+05 0.0086374 0.0000006 FS
41 -0.14596240D+05 0.0017438 0.0000001 FS
42 -0.14596240D+05 0.0003616 0.0000000 FS
43 -0.14596240D+05 0.0000769 0.0000000 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
10 -0.14617131D+05 3.8138894 0.0002609 EM
11 -0.14613964D+05 3.1664497 0.0002166 EM
12 -0.14611356D+05 2.6080516 0.0001785 EM
13 -0.14609233D+05 2.1232606 0.0001453 EM
14 -0.14607526D+05 1.7071237 0.0001169 EM
15 -0.14606169D+05 1.3568981 0.0000929 EM
16 -0.14605100D+05 1.0687380 0.0000732 EM
17 -0.14604263D+05 0.8368884 0.0000573 EM
18 -0.14603609D+05 0.6540911 0.0000448 EM
19 -0.14603097D+05 0.5124187 0.0000351 EM
20 -0.14602693D+05 0.4040839 0.0000277 EM
21 -0.14602371D+05 0.3220180 0.0000221 EM
22 -0.14602111D+05 0.2601805 0.0000178 EM
23 -0.14601897D+05 0.2136436 0.0000146 EM
24 -0.14601719D+05 0.1785297 0.0000122 EM
25 -0.14601567D+05 0.1518712 0.0000104 EM
26 -0.14601435D+05 0.1314438 0.0000090 EM
27 -0.14601320D+05 0.1156064 0.0000079 EM
28 -0.14601216D+05 0.1031605 0.0000071 EM
29 -0.14601123D+05 0.0932372 0.0000064 EM
30 -0.14601038D+05 0.0852078 0.0000058 EM
31 -0.14600959D+05 0.0786176 0.0000054 EM
32 -0.14600886D+05 0.0731363 0.0000050 EM
33 -0.14600818D+05 0.0685227 0.0000047 EM
34 -0.14600753D+05 0.0645990 0.0000044 EM
35 -0.14600692D+05 0.0612326 0.0000042 EM
36 -0.14600634D+05 0.0583233 0.0000040 EM
37 -0.14600578D+05 0.0557942 0.0000038 EM
38 -0.14600524D+05 0.0535855 0.0000037 EM
39 -0.14600473D+05 0.0516496 0.0000035 EM
40 -0.14600423D+05 0.0499484 0.0000034 EM
41 -0.14600374D+05 0.0484505 0.0000033 EM
42 -0.14600327D+05 0.0471299 0.0000032 EM
43 -0.14600281D+05 0.0459647 0.0000031 EM
44 -0.14600236D+05 0.0449360 0.0000031 EM
45 -0.14600192D+05 0.0440278 0.0000030 EM
46 -0.14600149D+05 0.0432260 0.0000030 EM
47 -0.14600106D+05 0.0425182 0.0000029 EM
48 -0.14600064D+05 0.0418936 0.0000029 EM
49 -0.14600023D+05 0.0413423 0.0000028 EM
50 -0.14599982D+05 0.0408557 0.0000028 EM
51 -0.14599942D+05 0.0404261 0.0000028 EM
52 -0.14599902D+05 0.0400464 0.0000027 EM
53 -0.14599862D+05 0.0397104 0.0000027 EM
54 -0.14599823D+05 0.0394122 0.0000027 EM
55 -0.14599783D+05 0.0391468 0.0000027 EM
56 -0.14599745D+05 0.0389095 0.0000027 EM
57 -0.14599706D+05 0.0386960 0.0000027 EM
58 -0.14599667D+05 0.0385025 0.0000026 EM
59 -0.14599629D+05 0.0383254 0.0000026 EM
60 -0.14599591D+05 0.0381617 0.0000026 EM
61 -0.14599553D+05 0.0380084 0.0000026 EM
62 -0.14599515D+05 0.0378630 0.0000026 EM
63 -0.14599477D+05 0.0377231 0.0000026 EM
64 -0.14599440D+05 0.0375867 0.0000026 EM
65 -0.14599402D+05 0.0374518 0.0000026 EM
66 -0.14599365D+05 0.0373167 0.0000026 EM
67 -0.14598319D+05 1.0463951 0.0000717 QN
68 -0.14597771D+05 0.5474439 0.0000375 EM
69 -0.14597656D+05 0.1146664 0.0000079 EM
70 -0.14597595D+05 0.0611911 0.0000042 EM
71 -0.14597554D+05 0.0410696 0.0000028 EM
72 -0.14597522D+05 0.0323555 0.0000022 EM
73 -0.14597494D+05 0.0280795 0.0000019 EM
74 -0.14597468D+05 0.0256804 0.0000018 EM
75 -0.14597444D+05 0.0241341 0.0000017 EM
76 -0.14597421D+05 0.0230057 0.0000016 EM
77 -0.14597399D+05 0.0221009 0.0000015 EM
78 -0.14597377D+05 0.0213284 0.0000015 EM
79 -0.14597357D+05 0.0206424 0.0000014 EM
80 -0.14597337D+05 0.0200186 0.0000014 EM
81 -0.14597317D+05 0.0194429 0.0000013 EM
82 -0.14597298D+05 0.0189066 0.0000013 EM
83 -0.14596240D+05 1.0587513 0.0000725 QN
84 -0.14596240D+05 0.0000287 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
10 -0.14619300D+05 3.2236136 0.0002205 EM
11 -0.14616923D+05 2.3774708 0.0001626 EM
12 -0.14615089D+05 1.8338136 0.0001255 EM
13 -0.14613616D+05 1.4732464 0.0001008 EM
14 -0.14612388D+05 1.2281306 0.0000840 EM
15 -0.14611331D+05 1.0570579 0.0000723 EM
16 -0.14610397D+05 0.9338327 0.0000639 EM
17 -0.14609555D+05 0.8417447 0.0000576 EM
18 -0.14608785D+05 0.7701433 0.0000527 EM
19 -0.14608073D+05 0.7122530 0.0000488 EM
20 -0.14607409D+05 0.6637594 0.0000454 EM
21 -0.14606787D+05 0.6218997 0.0000426 EM
22 -0.14606202D+05 0.5848841 0.0000400 EM
23 -0.14605651D+05 0.5515329 0.0000378 EM
24 -0.14605130D+05 0.5210511 0.0000357 EM
25 -0.14604637D+05 0.4928886 0.0000337 EM
26 -0.14604170D+05 0.4666548 0.0000320 EM
27 -0.14603728D+05 0.4420646 0.0000303 EM
28 -0.14603309D+05 0.4189049 0.0000287 EM
29 -0.14602912D+05 0.3970130 0.0000272 EM
30 -0.14602536D+05 0.3762624 0.0000258 EM
31 -0.14602179D+05 0.3565530 0.0000244 EM
32 -0.14601841D+05 0.3378045 0.0000231 EM
33 -0.14601522D+05 0.3199516 0.0000219 EM
34 -0.14601219D+05 0.3029402 0.0000207 EM
35 -0.14600932D+05 0.2867250 0.0000196 EM
36 -0.14597448D+05 3.4835769 0.0002386 FS
37 -0.14596409D+05 1.0394144 0.0000712 FS
38 -0.14596273D+05 0.1358408 0.0000093 FS
39 -0.14596247D+05 0.0263731 0.0000018 FS
40 -0.14596241D+05 0.0055327 0.0000004 FS
41 -0.14596240D+05 0.0011660 0.0000001 FS
42 -0.14596240D+05 0.0002540 0.0000000 FS
43 -0.14596240D+05 0.0000566 0.0000000 FS
Beginning Time: 23:13:31
Ending Time: 23:13:35
Elapsed Time: 00:00:04
MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA 90066
Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com
Copyright (c) 1998-2022 Muthen & Muthen
Back to examples