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;
MODEL: %OVERALL%
c1 c2 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 LOGIT
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 533738 11
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 1998.776
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
2 993.00000 0.49650
C1 1 549.47528 0.27474
2 752.67206 0.37634
3 697.85266 0.34893
C2 1 882.60187 0.44130
2 652.27075 0.32614
3 465.12744 0.23256
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 0.285 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 0.171 0.688
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2 3
1 1.002 -0.724 0.000
2 -0.608 2.029 0.000
3 -1.583 -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 0.131
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 -9.872 0.000
U14$1 -1.039 0.110 -9.447 0.000
U15$1 -0.838 0.096 -8.742 0.000
Latent Class C1#2
Thresholds
U11$1 1.061 0.101 10.543 0.000
U12$1 0.959 0.086 11.116 0.000
U13$1 0.860 0.120 7.145 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 0.719 0.209 3.441 0.001
U13$1 -1.078 0.173 -6.234 0.000
U14$1 -0.824 0.147 -5.622 0.000
U15$1 -1.286 0.247 -5.216 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 -9.872 0.000
U24$1 -1.039 0.110 -9.447 0.000
U25$1 -0.838 0.096 -8.742 0.000
Latent Class C2#2
Thresholds
U21$1 1.061 0.101 10.543 0.000
U22$1 0.959 0.086 11.116 0.000
U23$1 0.860 0.120 7.145 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 0.719 0.209 3.441 0.001
U23$1 -1.078 0.173 -6.234 0.000
U24$1 -0.824 0.147 -5.622 0.000
U25$1 -1.286 0.247 -5.216 0.000
Categorical Latent Variables
C1#1 ON
CG#1 0.908 0.258 3.527 0.000
C1#2 ON
CG#1 1.948 0.236 8.270 0.000
C2#1 ON
CG#1 0.368 0.884 0.416 0.677
C2#2 ON
CG#1 0.146 1.000 0.146 0.884
Means
CG#1 0.014 0.045 0.313 0.754
C1#1 -0.581 0.445 -1.307 0.191
C1#2 -0.902 0.338 -2.669 0.008
C2#1 0.667 0.561 1.190 0.234
C2#2 0.140 0.496 0.282 0.778
Latent Class CG#1
C2#1 ON
C1#1 -0.868 0.980 -0.886 0.376
C1#2 -0.349 0.989 -0.353 0.724
C2#2 ON
C1#1 -1.336 1.210 -1.104 0.269
C1#2 1.017 1.054 0.965 0.334
Latent Class CG#2
C2#1 ON
C1#1 2.534 3.140 0.807 0.420
C1#2 -1.423 0.690 -2.062 0.039
C2#2 ON
C1#1 2.103 3.224 0.652 0.514
C1#2 -1.018 0.672 -1.515 0.130
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.835E-04
(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 4.610 0.000
Category 2 0.778 0.048 16.137 0.000
U12
Category 1 0.290 0.042 6.934 0.000
Category 2 0.710 0.042 16.967 0.000
U13
Category 1 0.274 0.020 13.970 0.000
Category 2 0.726 0.020 36.984 0.000
U14
Category 1 0.261 0.021 12.315 0.000
Category 2 0.739 0.021 34.795 0.000
U15
Category 1 0.302 0.020 14.951 0.000
Category 2 0.698 0.020 34.553 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 41.834 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 11.825 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 28.331 0.000
Category 2 0.281 0.025 11.051 0.000
Latent Class C1#3
U11
Category 1 0.723 0.062 11.675 0.000
Category 2 0.277 0.062 4.469 0.000
U12
Category 1 0.672 0.046 14.613 0.000
Category 2 0.328 0.046 7.123 0.000
U13
Category 1 0.254 0.033 7.749 0.000
Category 2 0.746 0.033 22.778 0.000
U14
Category 1 0.305 0.031 9.811 0.000
Category 2 0.695 0.031 22.371 0.000
U15
Category 1 0.217 0.042 5.176 0.000
Category 2 0.783 0.042 18.732 0.000
Results for Class-specific Model Parts of C2
Latent Class C2#1
U21
Category 1 0.222 0.048 4.610 0.000
Category 2 0.778 0.048 16.137 0.000
U22
Category 1 0.290 0.042 6.934 0.000
Category 2 0.710 0.042 16.967 0.000
U23
Category 1 0.274 0.020 13.970 0.000
Category 2 0.726 0.020 36.984 0.000
U24
Category 1 0.261 0.021 12.315 0.000
Category 2 0.739 0.021 34.795 0.000
U25
Category 1 0.302 0.020 14.951 0.000
Category 2 0.698 0.020 34.553 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 41.834 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 11.825 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 28.331 0.000
Category 2 0.281 0.025 11.051 0.000
Latent Class C2#3
U21
Category 1 0.723 0.062 11.675 0.000
Category 2 0.277 0.062 4.469 0.000
U22
Category 1 0.672 0.046 14.613 0.000
Category 2 0.328 0.046 7.123 0.000
U23
Category 1 0.254 0.033 7.749 0.000
Category 2 0.746 0.033 22.778 0.000
U24
Category 1 0.305 0.031 9.811 0.000
Category 2 0.695 0.031 22.371 0.000
U25
Category 1 0.217 0.042 5.176 0.000
Category 2 0.783 0.042 18.732 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 17 18 0
ALPHA(C)
C2#1 C2#2 C2#3
________ ________ ________
19 20 0
BETA(C)
CG#1 CG#2
________ ________
C1#1 21 0
C1#2 22 0
C1#3 0 0
BETA(C)
CG#1 CG#2
________ ________
C2#1 23 0
C2#2 24 0
C2#3 0 0
BETA(CC) FOR CG#1
C1#1 C1#2 C1#3
________ ________ ________
C2#1 25 27 0
C2#2 26 28 0
C2#3 0 0 0
BETA(CC) FOR CG#2
C1#1 C1#2 C1#3
________ ________ ________
C2#1 29 31 0
C2#2 30 32 0
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
________ ________ ________ ________ ________
0.000 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 0.000 0.000
C1#2 0.000 0.000
C1#3 0.000 0.000
BETA(C)
CG#1 CG#2
________ ________
C2#1 0.000 0.000
C2#2 0.000 0.000
C2#3 0.000 0.000
BETA(CC) FOR CG#1
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
BETA(CC) FOR CG#2
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
TECHNICAL 15 OUTPUT
ESTIMATED CONDITIONAL PROBABILITIES FOR THE LATENT CLASS VARIABLES
P(CG=1)=0.504
P(CG=2)=0.496
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)=0.285
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)=0.530
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 1 124.60366 0.06230
1 1 2 36.89380 0.01845
1 1 3 105.42717 0.05271
1 2 1 163.00784 0.08150
1 2 2 302.46785 0.15123
1 2 3 82.12667 0.04106
1 3 1 105.27999 0.05264
1 3 2 49.79381 0.02490
1 3 3 37.39922 0.01870
2 1 1 198.38004 0.09919
2 1 2 76.08989 0.03804
2 1 3 8.08073 0.00404
2 2 1 51.07353 0.02554
2 2 2 45.20862 0.02260
2 2 3 108.78755 0.05439
2 3 1 240.25678 0.12013
2 3 2 141.81675 0.07091
2 3 3 123.30609 0.06165
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Pattern
1 1 1 124.60064 0.06230
1 1 2 36.89314 0.01845
1 1 3 105.42644 0.05271
1 2 1 163.01021 0.08151
1 2 2 302.46787 0.15123
1 2 3 82.12546 0.04106
1 3 1 105.28089 0.05264
1 3 2 49.79511 0.02490
1 3 3 37.40023 0.01870
2 1 1 198.38188 0.09919
2 1 2 76.09032 0.03805
2 1 3 8.08069 0.00404
2 2 1 51.07311 0.02554
2 2 2 45.20887 0.02260
2 2 3 108.78850 0.05439
2 3 1 240.25895 0.12013
2 3 2 141.81361 0.07091
2 3 3 123.30407 0.06165
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 10.114 2.958 5.701 17.944
U12
Category > 1 6.383 1.365 4.198 9.706
U13
Category > 1 6.256 0.969 4.618 8.474
U14
Category > 1 6.474 1.015 4.761 8.804
U15
Category > 1 5.925 0.948 4.330 8.106
Latent Class C1#1 Compared to Latent Class C1#3
U11
Category > 1 9.143 2.984 4.822 17.336
U12
Category > 1 5.020 1.231 3.105 8.116
U13
Category > 1 0.901 0.203 0.579 1.401
U14
Category > 1 1.239 0.267 0.812 1.892
U15
Category > 1 0.639 0.186 0.360 1.131
Latent Class C1#2 Compared to Latent Class C1#3
U11
Category > 1 0.904 0.285 0.487 1.677
U12
Category > 1 0.786 0.180 0.502 1.232
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 10.114 2.958 5.701 17.944
U22
Category > 1 6.383 1.365 4.198 9.706
U23
Category > 1 6.256 0.969 4.618 8.474
U24
Category > 1 6.474 1.015 4.761 8.804
U25
Category > 1 5.925 0.948 4.330 8.106
Latent Class C2#1 Compared to Latent Class C2#3
U21
Category > 1 9.143 2.984 4.822 17.336
U22
Category > 1 5.020 1.231 3.105 8.116
U23
Category > 1 0.901 0.203 0.579 1.401
U24
Category > 1 1.239 0.267 0.812 1.892
U25
Category > 1 0.639 0.186 0.360 1.131
Latent Class C2#2 Compared to Latent Class C2#3
U21
Category > 1 0.904 0.285 0.487 1.677
U22
Category > 1 0.786 0.180 0.502 1.232
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 -0.14799180D+05 98.3892853 0.0066044 EM
3 -0.14728864D+05 70.3160315 0.0047513 EM
4 -0.14695531D+05 33.3329386 0.0022631 EM
5 -0.14680561D+05 14.9699220 0.0010187 EM
6 -0.14671172D+05 9.3894206 0.0006396 EM
7 -0.14662963D+05 8.2091028 0.0005595 EM
8 -0.14654574D+05 8.3888614 0.0005721 EM
9 -0.14645617D+05 8.9571306 0.0006112 EM
10 -0.14636278D+05 9.3385572 0.0006376 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16272762D+05 0.0000000 0.0000000 EM
2 -0.14942585D+05 1330.1768516 0.0817425 EM
3 -0.14788551D+05 154.0344691 0.0103084 EM
4 -0.14719409D+05 69.1412040 0.0046753 EM
5 -0.14692266D+05 27.1433228 0.0018440 EM
6 -0.14681104D+05 11.1623798 0.0007597 EM
7 -0.14675671D+05 5.4322805 0.0003700 EM
8 -0.14672549D+05 3.1223941 0.0002128 EM
9 -0.14670494D+05 2.0550293 0.0001401 EM
10 -0.14668987D+05 1.5074884 0.0001028 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19910767D+05 0.0000000 0.0000000 EM
2 -0.15101986D+05 4808.7808399 0.2415166 EM
3 -0.14884268D+05 217.7181105 0.0144165 EM
4 -0.14785227D+05 99.0403967 0.0066540 EM
5 -0.14734102D+05 51.1254104 0.0034579 EM
6 -0.14702835D+05 31.2665515 0.0021221 EM
7 -0.14679646D+05 23.1894821 0.0015772 EM
8 -0.14660804D+05 18.8417514 0.0012835 EM
9 -0.14645363D+05 15.4407732 0.0010532 EM
10 -0.14633050D+05 12.3133449 0.0008408 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17037157D+05 0.0000000 0.0000000 EM
2 -0.15191063D+05 1846.0940767 0.1083569 EM
3 -0.15034379D+05 156.6837351 0.0103142 EM
4 -0.14906478D+05 127.9004064 0.0085072 EM
5 -0.14775510D+05 130.9688050 0.0087860 EM
6 -0.14682743D+05 92.7669532 0.0062784 EM
7 -0.14639460D+05 43.2824062 0.0029478 EM
8 -0.14621506D+05 17.9539835 0.0012264 EM
9 -0.14612584D+05 8.9219959 0.0006102 EM
10 -0.14607294D+05 5.2907785 0.0003621 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17545915D+05 0.0000000 0.0000000 EM
2 -0.14981269D+05 2564.6456973 0.1461677 EM
3 -0.14836501D+05 144.7674624 0.0096632 EM
4 -0.14778697D+05 57.8040736 0.0038961 EM
5 -0.14750144D+05 28.5529457 0.0019320 EM
6 -0.14732862D+05 17.2821104 0.0011717 EM
7 -0.14720238D+05 12.6245272 0.0008569 EM
8 -0.14709931D+05 10.3068206 0.0007002 EM
9 -0.14701055D+05 8.8755945 0.0006034 EM
10 -0.14693216D+05 7.8393155 0.0005332 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18444392D+05 0.0000000 0.0000000 EM
2 -0.15018007D+05 3426.3843526 0.1857684 EM
3 -0.14867787D+05 150.2203533 0.0100027 EM
4 -0.14800680D+05 67.1065420 0.0045136 EM
5 -0.14757922D+05 42.7580638 0.0028889 EM
6 -0.14728237D+05 29.6850353 0.0020115 EM
7 -0.14709454D+05 18.7832249 0.0012753 EM
8 -0.14698043D+05 11.4106076 0.0007757 EM
9 -0.14690644D+05 7.3991585 0.0005034 EM
10 -0.14685342D+05 5.3017665 0.0003609 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18618302D+05 0.0000000 0.0000000 EM
2 -0.14931703D+05 3686.5994142 0.1980094 EM
3 -0.14732518D+05 199.1848495 0.0133397 EM
4 -0.14681107D+05 51.4105314 0.0034896 EM
5 -0.14660670D+05 20.4370379 0.0013921 EM
6 -0.14648811D+05 11.8589513 0.0008089 EM
7 -0.14640180D+05 8.6317628 0.0005892 EM
8 -0.14633237D+05 6.9422230 0.0004742 EM
9 -0.14627434D+05 5.8031318 0.0003966 EM
10 -0.14622537D+05 4.8969083 0.0003348 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.21514407D+05 0.0000000 0.0000000 EM
2 -0.15065596D+05 6448.8109123 0.2997438 EM
3 -0.14814163D+05 251.4323003 0.0166892 EM
4 -0.14738194D+05 75.9693125 0.0051282 EM
5 -0.14703946D+05 34.2482830 0.0023238 EM
6 -0.14683829D+05 20.1170034 0.0013681 EM
7 -0.14669523D+05 14.3058938 0.0009743 EM
8 -0.14658011D+05 11.5115372 0.0007847 EM
9 -0.14648092D+05 9.9195828 0.0006767 EM
10 -0.14639355D+05 8.7368278 0.0005964 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18848910D+05 0.0000000 0.0000000 EM
2 -0.14899219D+05 3949.6914737 0.2095448 EM
3 -0.14784063D+05 115.1557866 0.0077290 EM
4 -0.14738933D+05 45.1299788 0.0030526 EM
5 -0.14712805D+05 26.1282840 0.0017727 EM
6 -0.14697484D+05 15.3202261 0.0010413 EM
7 -0.14688783D+05 8.7016220 0.0005920 EM
8 -0.14683773D+05 5.0097953 0.0003411 EM
9 -0.14680663D+05 3.1095422 0.0002118 EM
10 -0.14678495D+05 2.1683001 0.0001477 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19590848D+05 0.0000000 0.0000000 EM
2 -0.15021451D+05 4569.3975459 0.2332414 EM
3 -0.14793911D+05 227.5391749 0.0151476 EM
4 -0.14721531D+05 72.3807701 0.0048926 EM
5 -0.14679637D+05 41.8934341 0.0028457 EM
6 -0.14653928D+05 25.7094740 0.0017514 EM
7 -0.14638732D+05 15.1957124 0.0010370 EM
8 -0.14629679D+05 9.0529624 0.0006184 EM
9 -0.14623934D+05 5.7448800 0.0003927 EM
10 -0.14620008D+05 3.9258307 0.0002685 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.20564661D+05 0.0000000 0.0000000 EM
2 -0.14895776D+05 5668.8852778 0.2756615 EM
3 -0.14811723D+05 84.0533845 0.0056428 EM
4 -0.14778051D+05 33.6717739 0.0022733 EM
5 -0.14748259D+05 29.7923518 0.0020160 EM
6 -0.14722661D+05 25.5979953 0.0017357 EM
7 -0.14704763D+05 17.8976019 0.0012156 EM
8 -0.14694547D+05 10.2163118 0.0006948 EM
9 -0.14689161D+05 5.3854844 0.0003665 EM
10 -0.14686093D+05 3.0680357 0.0002089 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17215659D+05 0.0000000 0.0000000 EM
2 -0.14698307D+05 2517.3524316 0.1462246 EM
3 -0.14651120D+05 47.1862305 0.0032103 EM
4 -0.14633920D+05 17.2000312 0.0011740 EM
5 -0.14625864D+05 8.0562578 0.0005505 EM
6 -0.14621265D+05 4.5995649 0.0003145 EM
7 -0.14618227D+05 3.0374090 0.0002077 EM
8 -0.14616007D+05 2.2205591 0.0001519 EM
9 -0.14614267D+05 1.7396703 0.0001190 EM
10 -0.14612839D+05 1.4280835 0.0000977 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16183472D+05 0.0000000 0.0000000 EM
2 -0.14907023D+05 1276.4484980 0.0788736 EM
3 -0.14791461D+05 115.5623898 0.0077522 EM
4 -0.14731494D+05 59.9670722 0.0040542 EM
5 -0.14703075D+05 28.4183387 0.0019291 EM
6 -0.14690468D+05 12.6072575 0.0008575 EM
7 -0.14684428D+05 6.0404181 0.0004112 EM
8 -0.14681002D+05 3.4259889 0.0002333 EM
9 -0.14678697D+05 2.3051184 0.0001570 EM
10 -0.14676934D+05 1.7621017 0.0001200 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.23088784D+05 0.0000000 0.0000000 EM
2 -0.15034996D+05 8053.7886285 0.3488182 EM
3 -0.14820360D+05 214.6355095 0.0142757 EM
4 -0.14748316D+05 72.0439130 0.0048611 EM
5 -0.14711542D+05 36.7738765 0.0024934 EM
6 -0.14685191D+05 26.3515287 0.0017912 EM
7 -0.14663986D+05 21.2049282 0.0014440 EM
8 -0.14647134D+05 16.8517487 0.0011492 EM
9 -0.14634300D+05 12.8340442 0.0008762 EM
10 -0.14624891D+05 9.4095239 0.0006430 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.23245437D+05 0.0000000 0.0000000 EM
2 -0.15167237D+05 8078.1994761 0.3475176 EM
3 -0.14936594D+05 230.6430392 0.0152067 EM
4 -0.14878332D+05 58.2618885 0.0039006 EM
5 -0.14851824D+05 26.5086851 0.0017817 EM
6 -0.14831281D+05 20.5428050 0.0013832 EM
7 -0.14812069D+05 19.2121539 0.0012954 EM
8 -0.14793976D+05 18.0927495 0.0012215 EM
9 -0.14777675D+05 16.3012499 0.0011019 EM
10 -0.14763642D+05 14.0325601 0.0009496 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19303763D+05 0.0000000 0.0000000 EM
2 -0.15047807D+05 4255.9556008 0.2204728 EM
3 -0.14862832D+05 184.9755039 0.0122925 EM
4 -0.14813318D+05 49.5141713 0.0033314 EM
5 -0.14783037D+05 30.2806754 0.0020442 EM
6 -0.14755687D+05 27.3496641 0.0018501 EM
7 -0.14728364D+05 27.3231332 0.0018517 EM
8 -0.14701602D+05 26.7625003 0.0018171 EM
9 -0.14677122D+05 24.4799689 0.0016651 EM
10 -0.14656500D+05 20.6222036 0.0014051 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17615731D+05 0.0000000 0.0000000 EM
2 -0.14928671D+05 2687.0603025 0.1525375 EM
3 -0.14811170D+05 117.5004401 0.0078708 EM
4 -0.14768421D+05 42.7489760 0.0028863 EM
5 -0.14739906D+05 28.5148818 0.0019308 EM
6 -0.14716281D+05 23.6258243 0.0016028 EM
7 -0.14699101D+05 17.1791119 0.0011674 EM
8 -0.14688627D+05 10.4745459 0.0007126 EM
9 -0.14682824D+05 5.8024217 0.0003950 EM
10 -0.14679570D+05 3.2544337 0.0002216 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.24676304D+05 0.0000000 0.0000000 EM
2 -0.15288510D+05 9387.7935479 0.3804376 EM
3 -0.14951210D+05 337.3008897 0.0220624 EM
4 -0.14781363D+05 169.8468111 0.0113601 EM
5 -0.14684498D+05 96.8645749 0.0065532 EM
6 -0.14639191D+05 45.3071185 0.0030854 EM
7 -0.14619673D+05 19.5185224 0.0013333 EM
8 -0.14610764D+05 8.9080532 0.0006093 EM
9 -0.14606212D+05 4.5523390 0.0003116 EM
10 -0.14603596D+05 2.6159072 0.0001791 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.20441490D+05 0.0000000 0.0000000 EM
2 -0.14995455D+05 5446.0350103 0.2664207 EM
3 -0.14809332D+05 186.1223344 0.0124119 EM
4 -0.14741972D+05 67.3600237 0.0045485 EM
5 -0.14712528D+05 29.4448988 0.0019974 EM
6 -0.14699125D+05 13.4024350 0.0009110 EM
7 -0.14691989D+05 7.1356168 0.0004854 EM
8 -0.14687274D+05 4.7152105 0.0003209 EM
9 -0.14683627D+05 3.6475116 0.0002483 EM
10 -0.14680567D+05 3.0592420 0.0002083 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.21065709D+05 0.0000000 0.0000000 EM
2 -0.14911597D+05 6154.1117241 0.2921388 EM
3 -0.14771148D+05 140.4488966 0.0094188 EM
4 -0.14716966D+05 54.1821015 0.0036681 EM
5 -0.14688398D+05 28.5679873 0.0019412 EM
6 -0.14673018D+05 15.3805129 0.0010471 EM
7 -0.14664478D+05 8.5393894 0.0005820 EM
8 -0.14659247D+05 5.2315855 0.0003568 EM
9 -0.14655603D+05 3.6437773 0.0002486 EM
10 -0.14652774D+05 2.8291786 0.0001930 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17975564D+05 0.0000000 0.0000000 EM
2 -0.15218690D+05 2756.8740341 0.1533679 EM
3 -0.14953641D+05 265.0489665 0.0174160 EM
4 -0.14808652D+05 144.9885397 0.0096959 EM
5 -0.14735955D+05 72.6973841 0.0049091 EM
6 -0.14704733D+05 31.2218847 0.0021188 EM
7 -0.14690937D+05 13.7959542 0.0009382 EM
8 -0.14683790D+05 7.1465306 0.0004865 EM
9 -0.14679230D+05 4.5606701 0.0003106 EM
10 -0.14675759D+05 3.4710618 0.0002365 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
10 -0.14603596D+05 2.6159072 0.0001791 EM
11 -0.14601933D+05 1.6630884 0.0001139 EM
12 -0.14600791D+05 1.1424537 0.0000782 EM
13 -0.14599961D+05 0.8293570 0.0000568 EM
14 -0.14599336D+05 0.6257781 0.0000429 EM
15 -0.14598850D+05 0.4853898 0.0000332 EM
16 -0.14598466D+05 0.3843272 0.0000263 EM
17 -0.14598157D+05 0.3092421 0.0000212 EM
18 -0.14597904D+05 0.2521181 0.0000173 EM
19 -0.14597697D+05 0.2078538 0.0000142 EM
20 -0.14597524D+05 0.1730487 0.0000119 EM
21 -0.14597378D+05 0.1453504 0.0000100 EM
22 -0.14597255D+05 0.1230821 0.0000084 EM
23 -0.14597150D+05 0.1050192 0.0000072 EM
24 -0.14597060D+05 0.0902495 0.0000062 EM
25 -0.14596982D+05 0.0780828 0.0000053 EM
26 -0.14596914D+05 0.0679899 0.0000047 EM
27 -0.14596854D+05 0.0595608 0.0000041 EM
28 -0.14596802D+05 0.0524752 0.0000036 EM
29 -0.14596755D+05 0.0464808 0.0000032 EM
30 -0.14596714D+05 0.0413780 0.0000028 EM
31 -0.14596677D+05 0.0370075 0.0000025 EM
32 -0.14596644D+05 0.0332420 0.0000023 EM
33 -0.14596614D+05 0.0299790 0.0000021 EM
34 -0.14596587D+05 0.0271357 0.0000019 EM
35 -0.14596562D+05 0.0246447 0.0000017 EM
36 -0.14596539D+05 0.0224514 0.0000015 EM
37 -0.14596519D+05 0.0205107 0.0000014 EM
38 -0.14596269D+05 0.2501854 0.0000171 FS
39 -0.14596244D+05 0.0250659 0.0000017 FS
40 -0.14596241D+05 0.0031568 0.0000002 FS
41 -0.14596240D+05 0.0006430 0.0000000 FS
42 -0.14596240D+05 0.0001559 0.0000000 FS
43 -0.14596240D+05 0.0000425 0.0000000 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
10 -0.14607294D+05 5.2907785 0.0003621 EM
11 -0.14603926D+05 3.3672904 0.0002305 EM
12 -0.14601731D+05 2.1953844 0.0001503 EM
13 -0.14600275D+05 1.4558400 0.0000997 EM
14 -0.14599289D+05 0.9858807 0.0000675 EM
15 -0.14598604D+05 0.6849527 0.0000469 EM
16 -0.14598115D+05 0.4894132 0.0000335 EM
17 -0.14597755D+05 0.3596045 0.0000246 EM
18 -0.14597484D+05 0.2711560 0.0000186 EM
19 -0.14597275D+05 0.2091609 0.0000143 EM
20 -0.14597110D+05 0.1644618 0.0000113 EM
21 -0.14596979D+05 0.1313695 0.0000090 EM
22 -0.14596873D+05 0.1062879 0.0000073 EM
23 -0.14596786D+05 0.0868945 0.0000060 EM
24 -0.14596714D+05 0.0716512 0.0000049 EM
25 -0.14596655D+05 0.0595106 0.0000041 EM
26 -0.14596605D+05 0.0497394 0.0000034 EM
27 -0.14596563D+05 0.0418096 0.0000029 EM
28 -0.14596528D+05 0.0353312 0.0000024 EM
29 -0.14596498D+05 0.0300098 0.0000021 EM
30 -0.14596472D+05 0.0256185 0.0000018 EM
31 -0.14596450D+05 0.0219800 0.0000015 EM
32 -0.14596431D+05 0.0189541 0.0000013 EM
33 -0.14596415D+05 0.0164287 0.0000011 EM
34 -0.14596400D+05 0.0143136 0.0000010 EM
35 -0.14596388D+05 0.0125358 0.0000009 EM
36 -0.14596377D+05 0.0110361 0.0000008 EM
37 -0.14596367D+05 0.0097662 0.0000007 EM
38 -0.14596249D+05 0.1179234 0.0000081 FS
39 -0.14596241D+05 0.0081620 0.0000006 FS
40 -0.14596240D+05 0.0011264 0.0000001 FS
41 -0.14596240D+05 0.0002288 0.0000000 FS
42 -0.14596240D+05 0.0000510 0.0000000 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
10 -0.14612839D+05 1.4280835 0.0000977 EM
11 -0.14611629D+05 1.2101279 0.0000828 EM
12 -0.14610581D+05 1.0481789 0.0000717 EM
13 -0.14609659D+05 0.9220559 0.0000631 EM
14 -0.14608838D+05 0.8202151 0.0000561 EM
15 -0.14608103D+05 0.7356715 0.0000504 EM
16 -0.14607439D+05 0.6639819 0.0000455 EM
17 -0.14606836D+05 0.6021917 0.0000412 EM
18 -0.14606288D+05 0.5482569 0.0000375 EM
19 -0.14605787D+05 0.5007135 0.0000343 EM
20 -0.14605329D+05 0.4584800 0.0000314 EM
21 -0.14604908D+05 0.4207351 0.0000288 EM
22 -0.14604521D+05 0.3868395 0.0000265 EM
23 -0.14604165D+05 0.3562838 0.0000244 EM
24 -0.14603836D+05 0.3286547 0.0000225 EM
25 -0.14603533D+05 0.3036102 0.0000208 EM
26 -0.14603252D+05 0.2808630 0.0000192 EM
27 -0.14602992D+05 0.2601687 0.0000178 EM
28 -0.14602751D+05 0.2413168 0.0000165 EM
29 -0.14602526D+05 0.2241244 0.0000153 EM
30 -0.14602318D+05 0.2084308 0.0000143 EM
31 -0.14602124D+05 0.1940944 0.0000133 EM
32 -0.14601943D+05 0.1809895 0.0000124 EM
33 -0.14601774D+05 0.1690036 0.0000116 EM
34 -0.14601616D+05 0.1580361 0.0000108 EM
35 -0.14601468D+05 0.1479966 0.0000101 EM
36 -0.14601329D+05 0.1388033 0.0000095 EM
37 -0.14601199D+05 0.1303822 0.0000089 EM
38 -0.14601076D+05 0.1226665 0.0000084 EM
39 -0.14600960D+05 0.1155951 0.0000079 EM
40 -0.14600851D+05 0.1091126 0.0000075 EM
41 -0.14600748D+05 0.1031686 0.0000071 EM
42 -0.14600650D+05 0.0977168 0.0000067 EM
43 -0.14600558D+05 0.0927152 0.0000064 EM
44 -0.14600470D+05 0.0881252 0.0000060 EM
45 -0.14600386D+05 0.0839115 0.0000057 EM
46 -0.14600306D+05 0.0800418 0.0000055 EM
47 -0.14600229D+05 0.0764864 0.0000052 EM
48 -0.14600156D+05 0.0732183 0.0000050 EM
49 -0.14600086D+05 0.0702126 0.0000048 EM
50 -0.14600018D+05 0.0674465 0.0000046 EM
51 -0.14599953D+05 0.0648990 0.0000044 EM
52 -0.14599891D+05 0.0625509 0.0000043 EM
53 -0.14599830D+05 0.0603847 0.0000041 EM
54 -0.14599772D+05 0.0583843 0.0000040 EM
55 -0.14599715D+05 0.0565349 0.0000039 EM
56 -0.14599661D+05 0.0548229 0.0000038 EM
57 -0.14599607D+05 0.0532360 0.0000036 EM
58 -0.14599556D+05 0.0517629 0.0000035 EM
59 -0.14599505D+05 0.0503932 0.0000035 EM
60 -0.14599456D+05 0.0491175 0.0000034 EM
61 -0.14596240D+05 3.2157082 0.0002203 QN
62 -0.14596240D+05 0.0002491 0.0000000 EM
63 -0.14596240D+05 0.0000858 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
10 -0.14620008D+05 3.9258307 0.0002685 EM
11 -0.14617162D+05 2.8465552 0.0001947 EM
12 -0.14615003D+05 2.1591713 0.0001477 EM
13 -0.14613302D+05 1.7002992 0.0001163 EM
14 -0.14611918D+05 1.3842147 0.0000947 EM
15 -0.14610757D+05 1.1606905 0.0000794 EM
16 -0.14609759D+05 0.9983275 0.0000683 EM
17 -0.14608882D+05 0.8769453 0.0000600 EM
18 -0.14608099D+05 0.7834340 0.0000536 EM
19 -0.14607389D+05 0.7092217 0.0000485 EM
20 -0.14606741D+05 0.6486565 0.0000444 EM
21 -0.14606143D+05 0.5979666 0.0000409 EM
22 -0.14605588D+05 0.5545951 0.0000380 EM
23 -0.14605071D+05 0.5167764 0.0000354 EM
24 -0.14604588D+05 0.4832679 0.0000331 EM
25 -0.14604135D+05 0.4531777 0.0000310 EM
26 -0.14603709D+05 0.4258543 0.0000292 EM
27 -0.14603308D+05 0.4008141 0.0000274 EM
28 -0.14602931D+05 0.3776925 0.0000259 EM
29 -0.14602574D+05 0.3562112 0.0000244 EM
30 -0.14602238D+05 0.3361550 0.0000230 EM
31 -0.14601921D+05 0.3173558 0.0000217 EM
32 -0.14601621D+05 0.2996805 0.0000205 EM
33 -0.14601338D+05 0.2830227 0.0000194 EM
34 -0.14601071D+05 0.2672959 0.0000183 EM
35 -0.14600818D+05 0.2524290 0.0000173 EM
36 -0.14598123D+05 2.6956505 0.0001846 FS
37 -0.14596405D+05 1.7182364 0.0001177 FS
38 -0.14596274D+05 0.1304396 0.0000089 FS
39 -0.14596247D+05 0.0274150 0.0000019 FS
40 -0.14596241D+05 0.0055830 0.0000004 FS
41 -0.14596240D+05 0.0011911 0.0000001 FS
42 -0.14596240D+05 0.0002540 0.0000000 FS
43 -0.14596240D+05 0.0000553 0.0000000 FS
Beginning Time: 23:13:28
Ending Time: 23:13:31
Elapsed Time: 00:00:03
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