Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:19 PM
INPUT INSTRUCTIONS
title: monte carlo for a two-level LCGA for
a three-category outcome
montecarlo:
names are u1-u4;
nobservations = 1000;
ncsizes = 3;
csizes = 40 (5) 50 (10) 20 (15);
generate = u1-u4(2);
categorical = u1-u4;
genclasses = c(2);
classes = c(2);
seed = 3454367;
nrep = 1;
save = ex10.11.dat;
analysis:
type = twolevel mixture;
model population:
%within%
%overall%
i s | u1@0 u2@1 u3@2 u4@3;
i-s@0; i with s@0;
[i*1 s*1];
%c#2%
[i@0 s*0];
%between%
%overall%
c#1*1;
[u1$1-u4$1*1];
[u1$2-u4$2*1.5];
model:
%within%
%overall%
i s | u1@0 u2@1 u3@2 u4@3;
i-s@0; i with s@0;
[i*1 s*1];
%c#2%
[i@0 s*0];
%between%
%overall%
c#1*1;
[u1$1-u4$1*1] (1);
[u1$2-u4$2*1.5] (2);
output:
tech8 tech9;
INPUT READING TERMINATED NORMALLY
monte carlo for a two-level LCGA for
a three-category outcome
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1000
Number of replications
Requested 1
Completed 1
Value of seed 3454367
Number of dependent variables 4
Number of independent variables 0
Number of continuous latent variables 2
Number of categorical latent variables 1
Observed dependent variables
Binary and ordered categorical (ordinal)
U1 U2 U3 U4
Continuous latent variables
I S
Categorical latent variables
C
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-02
Relative loglikelihood change 0.100D-05
Derivative 0.100D-02
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-02
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-02
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
Integration Specifications
Type STANDARD
Number of integration points 15
Dimensions of numerical integration 1
Adaptive quadrature ON
Link LOGIT
Cholesky ON
SUMMARY OF DATA FOR THE FIRST REPLICATION
Cluster information
Size (s) Number of clusters of Size s
5 40
10 50
15 20
MODEL FIT INFORMATION
Number of Free Parameters 7
Loglikelihood
H0 Value
Mean -3317.329
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -3317.329 -3317.329
0.980 0.000 -3317.329 -3317.329
0.950 0.000 -3317.329 -3317.329
0.900 0.000 -3317.329 -3317.329
0.800 0.000 -3317.329 -3317.329
0.700 0.000 -3317.329 -3317.329
0.500 0.000 -3317.329 -3317.329
0.300 0.000 -3317.329 -3317.329
0.200 0.000 -3317.329 -3317.329
0.100 0.000 -3317.329 -3317.329
0.050 0.000 -3317.329 -3317.329
0.020 0.000 -3317.329 -3317.329
0.010 0.000 -3317.329 -3317.329
Information Criteria
Akaike (AIC)
Mean 6648.657
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 6648.657 6648.657
0.980 0.000 6648.657 6648.657
0.950 0.000 6648.657 6648.657
0.900 0.000 6648.657 6648.657
0.800 0.000 6648.657 6648.657
0.700 0.000 6648.657 6648.657
0.500 0.000 6648.657 6648.657
0.300 0.000 6648.657 6648.657
0.200 0.000 6648.657 6648.657
0.100 0.000 6648.657 6648.657
0.050 0.000 6648.657 6648.657
0.020 0.000 6648.657 6648.657
0.010 0.000 6648.657 6648.657
Bayesian (BIC)
Mean 6683.012
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 6683.012 6683.012
0.980 0.000 6683.012 6683.012
0.950 0.000 6683.012 6683.012
0.900 0.000 6683.012 6683.012
0.800 0.000 6683.012 6683.012
0.700 0.000 6683.012 6683.012
0.500 0.000 6683.012 6683.012
0.300 0.000 6683.012 6683.012
0.200 0.000 6683.012 6683.012
0.100 0.000 6683.012 6683.012
0.050 0.000 6683.012 6683.012
0.020 0.000 6683.012 6683.012
0.010 0.000 6683.012 6683.012
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 6660.779
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 6660.779 6660.779
0.980 0.000 6660.779 6660.779
0.950 0.000 6660.779 6660.779
0.900 0.000 6660.779 6660.779
0.800 0.000 6660.779 6660.779
0.700 0.000 6660.779 6660.779
0.500 0.000 6660.779 6660.779
0.300 0.000 6660.779 6660.779
0.200 0.000 6660.779 6660.779
0.100 0.000 6660.779 6660.779
0.050 0.000 6660.779 6660.779
0.020 0.000 6660.779 6660.779
0.010 0.000 6660.779 6660.779
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 471.90365 0.47190
2 528.09635 0.52810
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 471 0.47100
2 529 0.52900
CLASSIFICATION QUALITY
Entropy 0.723
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.922 0.078
2 0.071 0.929
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.920 0.080
2 0.069 0.931
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 2.449 0.000
2 -2.597 0.000
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Within Level
Latent Class 1
I |
U1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
S |
U1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 2.000 2.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 3.000 3.0000 0.0000 0.0000 0.0000 1.000 0.000
I WITH
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Means
I 1.000 0.7200 0.0000 0.1203 0.0784 0.000 1.000
S 1.000 1.0382 0.0000 0.0721 0.0015 1.000 1.000
Variances
I 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Latent Class 2
I |
U1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
S |
U1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 2.000 2.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 3.000 3.0000 0.0000 0.0000 0.0000 1.000 0.000
I WITH
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Means
I 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
S 0.000 -0.1336 0.0000 0.0543 0.0178 0.000 1.000
Variances
I 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Between Level
Latent Class 1
Thresholds
U1$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U1$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
U2$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U2$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
U3$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U3$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
U4$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U4$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
Latent Class 2
Thresholds
U1$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U1$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
U2$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U2$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
U3$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U3$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
U4$1 1.000 0.8031 0.0000 0.0804 0.0388 0.000 1.000
U4$2 1.500 1.2602 0.0000 0.0803 0.0575 0.000 1.000
Categorical Latent Variables
Within Level
Means
C#1 0.000 -0.1408 0.0000 0.1559 0.0198 1.000 0.000
Between Level
Variances
C#1 1.000 1.0286 0.0000 0.3039 0.0008 1.000 1.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.800E-02
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR WITHIN LEVEL, LATENT CLASS 1
NU
U1 U2 U3 U4
________ ________ ________ ________
0 0 0 0
LAMBDA
I S C#1
________ ________ ________
U1 0 0 0
U2 0 0 0
U3 0 0 0
U4 0 0 0
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0
U2 0 0
U3 0 0 0
U4 0 0 0 0
ALPHA
I S C#1
________ ________ ________
1 2 0
BETA
I S C#1
________ ________ ________
I 0 0 0
S 0 0 0
C#1 0 0 0
PSI
I S C#1
________ ________ ________
I 0
S 0 0
C#1 0 0 0
PARAMETER SPECIFICATION FOR WITHIN LEVEL, LATENT CLASS 2
NU
U1 U2 U3 U4
________ ________ ________ ________
0 0 0 0
LAMBDA
I S C#1
________ ________ ________
U1 0 0 0
U2 0 0 0
U3 0 0 0
U4 0 0 0
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0
U2 0 0
U3 0 0 0
U4 0 0 0 0
ALPHA
I S C#1
________ ________ ________
0 3 0
BETA
I S C#1
________ ________ ________
I 0 0 0
S 0 0 0
C#1 0 0 0
PSI
I S C#1
________ ________ ________
I 0
S 0 0
C#1 0 0 0
PARAMETER SPECIFICATION FOR BETWEEN LEVEL, LATENT CLASS 1
NU
U1 U2 U3 U4
________ ________ ________ ________
0 0 0 0
LAMBDA
I S C#1
________ ________ ________
U1 0 0 0
U2 0 0 0
U3 0 0 0
U4 0 0 0
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0
U2 0 0
U3 0 0 0
U4 0 0 0 0
ALPHA
I S C#1
________ ________ ________
0 0 0
BETA
I S C#1
________ ________ ________
I 0 0 0
S 0 0 0
C#1 0 0 0
PSI
I S C#1
________ ________ ________
I 0
S 0 0
C#1 0 0 4
PARAMETER SPECIFICATION FOR BETWEEN LEVEL, LATENT CLASS 2
NU
U1 U2 U3 U4
________ ________ ________ ________
0 0 0 0
LAMBDA
I S C#1
________ ________ ________
U1 0 0 0
U2 0 0 0
U3 0 0 0
U4 0 0 0
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0
U2 0 0
U3 0 0 0
U4 0 0 0 0
ALPHA
I S C#1
________ ________ ________
0 0 0
BETA
I S C#1
________ ________ ________
I 0 0 0
S 0 0 0
C#1 0 0 0
PSI
I S C#1
________ ________ ________
I 0
S 0 0
C#1 0 0 4
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART (WITHIN)
TAU(U) FOR LATENT CLASS 1
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
0 0 0 0 0
TAU(U) FOR LATENT CLASS 1
U3$2 U4$1 U4$2
________ ________ ________
0 0 0
TAU(U) FOR LATENT CLASS 2
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
0 0 0 0 0
TAU(U) FOR LATENT CLASS 2
U3$2 U4$1 U4$2
________ ________ ________
0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART (BETWEEN)
TAU(U) FOR LATENT CLASS 1
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
5 6 5 6 5
TAU(U) FOR LATENT CLASS 1
U3$2 U4$1 U4$2
________ ________ ________
6 5 6
TAU(U) FOR LATENT CLASS 2
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
5 6 5 6 5
TAU(U) FOR LATENT CLASS 2
U3$2 U4$1 U4$2
________ ________ ________
6 5 6
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
7 0
GAMMA(C)
I S C#1
________ ________ ________
C#1 0 0 0
C#2 0 0 0
STARTING VALUES FOR WITHIN LEVEL, LATENT CLASS 1
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 1.000 0.000 0.000
U2 1.000 1.000 0.000
U3 1.000 2.000 0.000
U4 1.000 3.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 1.000
U2 0.000 1.000
U3 0.000 0.000 1.000
U4 0.000 0.000 0.000 1.000
ALPHA
I S C#1
________ ________ ________
1.000 1.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 0.000
STARTING VALUES FOR WITHIN LEVEL, LATENT CLASS 2
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 1.000 0.000 0.000
U2 1.000 1.000 0.000
U3 1.000 2.000 0.000
U4 1.000 3.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 1.000
U2 0.000 1.000
U3 0.000 0.000 1.000
U4 0.000 0.000 0.000 1.000
ALPHA
I S C#1
________ ________ ________
0.000 0.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 0.000
STARTING VALUES FOR BETWEEN LEVEL, LATENT CLASS 1
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 0.000 0.000 0.000
U2 0.000 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0.000
U2 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000
ALPHA
I S C#1
________ ________ ________
0.000 0.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 1.000
STARTING VALUES FOR BETWEEN LEVEL, LATENT CLASS 2
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 0.000 0.000 0.000
U2 0.000 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0.000
U2 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000
ALPHA
I S C#1
________ ________ ________
0.000 0.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 1.000
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART (WITHIN)
TAU(U) FOR LATENT CLASS 1
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 1
U3$2 U4$1 U4$2
________ ________ ________
0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 2
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 2
U3$2 U4$1 U4$2
________ ________ ________
0.000 0.000 0.000
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART (BETWEEN)
TAU(U) FOR LATENT CLASS 1
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
1.000 1.500 1.000 1.500 1.000
TAU(U) FOR LATENT CLASS 1
U3$2 U4$1 U4$2
________ ________ ________
1.500 1.000 1.500
TAU(U) FOR LATENT CLASS 2
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
1.000 1.500 1.000 1.500 1.000
TAU(U) FOR LATENT CLASS 2
U3$2 U4$1 U4$2
________ ________ ________
1.500 1.000 1.500
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
I S C#1
________ ________ ________
C#1 0.000 0.000 0.000
C#2 0.000 0.000 0.000
POPULATION VALUES FOR WITHIN LEVEL, LATENT CLASS 1
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 1.000 0.000 0.000
U2 1.000 1.000 0.000
U3 1.000 2.000 0.000
U4 1.000 3.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0.000
U2 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000
ALPHA
I S C#1
________ ________ ________
1.000 1.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 0.000
POPULATION VALUES FOR WITHIN LEVEL, LATENT CLASS 2
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 1.000 0.000 0.000
U2 1.000 1.000 0.000
U3 1.000 2.000 0.000
U4 1.000 3.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0.000
U2 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000
ALPHA
I S C#1
________ ________ ________
0.000 0.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 0.000
POPULATION VALUES FOR BETWEEN LEVEL, LATENT CLASS 1
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 0.000 0.000 0.000
U2 0.000 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0.000
U2 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000
ALPHA
I S C#1
________ ________ ________
0.000 0.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 1.000
POPULATION VALUES FOR BETWEEN LEVEL, LATENT CLASS 2
NU
U1 U2 U3 U4
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
I S C#1
________ ________ ________
U1 0.000 0.000 0.000
U2 0.000 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000
THETA
U1 U2 U3 U4
________ ________ ________ ________
U1 0.000
U2 0.000 0.000
U3 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000
ALPHA
I S C#1
________ ________ ________
0.000 0.000 0.000
BETA
I S C#1
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
C#1 0.000 0.000 0.000
PSI
I S C#1
________ ________ ________
I 0.000
S 0.000 0.000
C#1 0.000 0.000 1.000
POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART (WITHIN)
TAU(U) FOR LATENT CLASS 1
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 1
U3$2 U4$1 U4$2
________ ________ ________
0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 2
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
TAU(U) FOR LATENT CLASS 2
U3$2 U4$1 U4$2
________ ________ ________
0.000 0.000 0.000
POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART (BETWEEN)
TAU(U) FOR LATENT CLASS 1
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
1.000 1.500 1.000 1.500 1.000
TAU(U) FOR LATENT CLASS 1
U3$2 U4$1 U4$2
________ ________ ________
1.500 1.000 1.500
TAU(U) FOR LATENT CLASS 2
U1$1 U1$2 U2$1 U2$2 U3$1
________ ________ ________ ________ ________
1.000 1.500 1.000 1.500 1.000
TAU(U) FOR LATENT CLASS 2
U3$2 U4$1 U4$2
________ ________ ________
1.500 1.000 1.500
POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
I S C#1
________ ________ ________
C#1 0.000 0.000 0.000
C#2 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
TECHNICAL 8 OUTPUT FOR REPLICATION 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.33235599D+04 0.0000000 0.0000000 EM
2 -0.33176533D+04 5.9065855 0.0017772 FS
3 -0.33173501D+04 0.3032317 0.0000914 FS
4 -0.33173329D+04 0.0171391 0.0000052 FS
5 -0.33173296D+04 0.0033173 0.0000010 FS
6 -0.33173287D+04 0.0009521 0.0000003 FS
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
SAVEDATA INFORMATION
Order of variables
U1
U2
U3
U4
C
CLUSTER
Save file
ex10.11.dat
Save file format Free
Save file record length 10000
Beginning Time: 22:19:34
Ending Time: 22:19:35
Elapsed Time: 00:00:01
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