Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:17 PM
INPUT INSTRUCTIONS
TITLE: this is an example of GMM with known
classes (multiple group analysis)
DATA: FILE IS ex8.8.dat;
VARIABLE: NAMES ARE g y1-y4 x cg c;
USEVARIABLES ARE y1-y4 x;
CLASSES = cg (2) c (2);
KNOWNCLASS = cg (g = 0 g = 1);
ANALYSIS: TYPE = MIXTURE;
MODEL:
%OVERALL%
i s | y1@0 y2@1 y3@2 y4@3;
i s ON x;
c ON cg x;
%cg#1.c#1%
[i*2 s*1];
%cg#1.c#2%
[i*0 s*0];
%cg#2.c#1%
[i*3 s*1.5];
%cg#2.c#2%
[i*1 s*.5];
OUTPUT: TECH1 TECH8;
INPUT READING TERMINATED NORMALLY
this is an example of GMM with known
classes (multiple group analysis)
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1000
Number of dependent variables 4
Number of independent variables 1
Number of continuous latent variables 2
Number of categorical latent variables 2
Observed dependent variables
Continuous
Y1 Y2 Y3 Y4
Observed independent variables
X
Continuous latent variables
I S
Categorical latent variables
CG C
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-06
Relative loglikelihood change 0.100D-06
Derivative 0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Maximum value for logit thresholds 15
Minimum value for logit thresholds -15
Minimum expected cell size for chi-square 0.100D-01
Optimization algorithm EMA
Random Starts Specifications
Number of initial stage random starts 20
Number of final stage optimizations 4
Number of initial stage iterations 10
Initial stage convergence criterion 0.100D+01
Random starts scale 0.500D+01
Random seed for generating random starts 0
Parameterization LOGIT
Input data file(s)
ex8.8.dat
Input data format FREE
UNIVARIATE SAMPLE STATISTICS
UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS
Variable/ Mean/ Skewness/ Minimum/ % with Percentiles
Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median
Y1 1.615 -0.208 -4.916 0.10% 0.177 1.226 1.727
1000.000 2.928 0.000 6.368 0.10% 2.139 3.077
Y2 2.434 -0.145 -4.206 0.10% 0.478 1.902 2.565
1000.000 5.072 -0.281 9.672 0.10% 3.100 4.385
Y3 3.241 -0.258 -6.169 0.10% 0.556 2.658 3.472
1000.000 8.387 -0.476 10.368 0.10% 4.257 5.803
Y4 4.068 -0.308 -7.614 0.10% 0.865 3.212 4.274
1000.000 12.519 -0.519 12.321 0.10% 5.383 7.397
X -0.040 0.095 -3.054 0.10% -0.896 -0.307 -0.057
1000.000 1.023 0.019 3.516 0.10% 0.217 0.833
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:
-7051.578 unperturbed 0
-7051.578 637345 19
-7051.578 573096 20
-7108.086 285380 1
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 21
Loglikelihood
H0 Value -7051.578
H0 Scaling Correction Factor 0.9823
for MLR
Information Criteria
Akaike (AIC) 14145.157
Bayesian (BIC) 14248.219
Sample-Size Adjusted BIC 14181.522
(n* = (n + 2) / 24)
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
CG 1 513.00000 0.51300
2 487.00000 0.48700
C 1 598.14185 0.59814
2 401.85818 0.40186
LOGISTIC REGRESSION ODDS RATIO RESULTS
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Categorical Latent Variables
C#1 ON
X 3.776 0.515 2.890 4.933
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
CG Classes (Rows) by C Classes (Columns)
1 2
1 0.603 0.397
2 0.495 0.505
TRANSITION PROBABILITY ODDS
EVALUATED AT THE SAMPLE MEAN FOR ALL COVARIATES
TRANSITION TABLE ODDS AND 95% CONFIDENCE INTERVALS FOR CG TO C
1.000(1.000,1.000) 0.339(0.244,0.471)
1.007(0.758,1.338) 1.000(1.000,1.000)
COVARIATE EFFECTS ON TRANSITION PROBABILITY ODDS RATIOS
EFFECT OF X
TRANSITION TABLE ODDS RATIO AND 95% CONFIDENCE INTERVALS FOR CG TO C
1.000(1.000,1.000) 0.265(0.203,0.346)
3.776(2.890,4.933) 1.000(1.000,1.000)
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 C
Entropy 0.772
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.942 0.058
2 0.068 0.932
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.956 0.044
2 0.088 0.912
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 3.069 0.000
2 -2.336 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Parameters in the Overall Part of the Model (Parameters Equal in All of the Classes)
I |
Y1 1.000 0.000 999.000 999.000
Y2 1.000 0.000 999.000 999.000
Y3 1.000 0.000 999.000 999.000
Y4 1.000 0.000 999.000 999.000
S |
Y1 0.000 0.000 999.000 999.000
Y2 1.000 0.000 999.000 999.000
Y3 2.000 0.000 999.000 999.000
Y4 3.000 0.000 999.000 999.000
I ON
X 0.469 0.046 10.093 0.000
S ON
X 0.197 0.024 8.067 0.000
S WITH
I 0.020 0.026 0.776 0.438
Intercepts
Y1 0.000 0.000 999.000 999.000
Y2 0.000 0.000 999.000 999.000
Y3 0.000 0.000 999.000 999.000
Y4 0.000 0.000 999.000 999.000
Residual Variances
Y1 0.511 0.045 11.333 0.000
Y2 0.519 0.029 17.681 0.000
Y3 0.452 0.032 13.920 0.000
Y4 0.576 0.060 9.564 0.000
I 1.017 0.074 13.786 0.000
S 0.181 0.017 10.497 0.000
Parameters for Class-specific Model Parts
Latent Class Pattern 1 1
Intercepts
I 1.957 0.068 28.671 0.000
S 1.048 0.037 28.234 0.000
Latent Class Pattern 1 2
Intercepts
I 0.111 0.136 0.814 0.415
S -0.117 0.052 -2.266 0.023
Latent Class Pattern 2 1
Intercepts
I 2.805 0.093 30.108 0.000
S 1.405 0.037 38.315 0.000
Latent Class Pattern 2 2
Intercepts
I 0.981 0.085 11.521 0.000
S 0.523 0.045 11.532 0.000
Categorical Latent Variables
C#1 ON
CG#1 1.075 0.217 4.955 0.000
C#1 ON
X 1.329 0.136 9.737 0.000
Means
CG#1 0.052 0.063 0.822 0.411
C#1 0.060 0.146 0.415 0.678
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.350E-02
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0 0 0 0 0
LAMBDA
I S X
________ ________ ________
Y1 0 0 0
Y2 0 0 0
Y3 0 0 0
Y4 0 0 0
X 0 0 0
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
X 0 0 0 0 0
ALPHA
I S X
________ ________ ________
5 6 0
BETA
I S X
________ ________ ________
I 0 0 7
S 0 0 8
X 0 0 0
PSI
I S X
________ ________ ________
I 9
S 10 11
X 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0 0 0 0 0
LAMBDA
I S X
________ ________ ________
Y1 0 0 0
Y2 0 0 0
Y3 0 0 0
Y4 0 0 0
X 0 0 0
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
X 0 0 0 0 0
ALPHA
I S X
________ ________ ________
12 13 0
BETA
I S X
________ ________ ________
I 0 0 7
S 0 0 8
X 0 0 0
PSI
I S X
________ ________ ________
I 9
S 10 11
X 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0 0 0 0 0
LAMBDA
I S X
________ ________ ________
Y1 0 0 0
Y2 0 0 0
Y3 0 0 0
Y4 0 0 0
X 0 0 0
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
X 0 0 0 0 0
ALPHA
I S X
________ ________ ________
14 15 0
BETA
I S X
________ ________ ________
I 0 0 7
S 0 0 8
X 0 0 0
PSI
I S X
________ ________ ________
I 9
S 10 11
X 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0 0 0 0 0
LAMBDA
I S X
________ ________ ________
Y1 0 0 0
Y2 0 0 0
Y3 0 0 0
Y4 0 0 0
X 0 0 0
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
X 0 0 0 0 0
ALPHA
I S X
________ ________ ________
16 17 0
BETA
I S X
________ ________ ________
I 0 0 7
S 0 0 8
X 0 0 0
PSI
I S X
________ ________ ________
I 9
S 10 11
X 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C#1 C#2
________ ________ ________ ________
18 0 19 0
GAMMA(C)
X
________
CG#1 0
CG#2 0
C#1 20
C#2 0
BETA(C)
CG#1 CG#2
________ ________
C#1 21 0
C#2 0 0
STARTING VALUES FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
I S X
________ ________ ________
Y1 1.000 0.000 0.000
Y2 1.000 1.000 0.000
Y3 1.000 2.000 0.000
Y4 1.000 3.000 0.000
X 0.000 0.000 1.000
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1.464
Y2 0.000 2.536
Y3 0.000 0.000 4.193
Y4 0.000 0.000 0.000 6.260
X 0.000 0.000 0.000 0.000 0.000
ALPHA
I S X
________ ________ ________
2.000 1.000 0.000
BETA
I S X
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
X 0.000 0.000 0.000
PSI
I S X
________ ________ ________
I 2.818
S 0.000 0.674
X 0.000 0.000 0.512
STARTING VALUES FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
I S X
________ ________ ________
Y1 1.000 0.000 0.000
Y2 1.000 1.000 0.000
Y3 1.000 2.000 0.000
Y4 1.000 3.000 0.000
X 0.000 0.000 1.000
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1.464
Y2 0.000 2.536
Y3 0.000 0.000 4.193
Y4 0.000 0.000 0.000 6.260
X 0.000 0.000 0.000 0.000 0.000
ALPHA
I S X
________ ________ ________
0.000 0.000 0.000
BETA
I S X
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
X 0.000 0.000 0.000
PSI
I S X
________ ________ ________
I 2.818
S 0.000 0.674
X 0.000 0.000 0.512
STARTING VALUES FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
I S X
________ ________ ________
Y1 1.000 0.000 0.000
Y2 1.000 1.000 0.000
Y3 1.000 2.000 0.000
Y4 1.000 3.000 0.000
X 0.000 0.000 1.000
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1.464
Y2 0.000 2.536
Y3 0.000 0.000 4.193
Y4 0.000 0.000 0.000 6.260
X 0.000 0.000 0.000 0.000 0.000
ALPHA
I S X
________ ________ ________
3.000 1.500 0.000
BETA
I S X
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
X 0.000 0.000 0.000
PSI
I S X
________ ________ ________
I 2.818
S 0.000 0.674
X 0.000 0.000 0.512
STARTING VALUES FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
LAMBDA
I S X
________ ________ ________
Y1 1.000 0.000 0.000
Y2 1.000 1.000 0.000
Y3 1.000 2.000 0.000
Y4 1.000 3.000 0.000
X 0.000 0.000 1.000
THETA
Y1 Y2 Y3 Y4 X
________ ________ ________ ________ ________
Y1 1.464
Y2 0.000 2.536
Y3 0.000 0.000 4.193
Y4 0.000 0.000 0.000 6.260
X 0.000 0.000 0.000 0.000 0.000
ALPHA
I S X
________ ________ ________
1.000 0.500 0.000
BETA
I S X
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
X 0.000 0.000 0.000
PSI
I S X
________ ________ ________
I 2.818
S 0.000 0.674
X 0.000 0.000 0.512
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C#1 C#2
________ ________ ________ ________
0.000 0.000 0.000 0.000
GAMMA(C)
X
________
CG#1 0.000
CG#2 0.000
C#1 0.000
C#2 0.000
BETA(C)
CG#1 CG#2
________ ________
C#1 0.000 0.000
C#2 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.87739244D+04 0.0000000 0.0000000 EM
2 -0.71096557D+04 1664.2686419 0.1896835 EM
3 -0.71022013D+04 7.4544489 0.0010485 EM
4 -0.70934092D+04 8.7920743 0.0012379 EM
5 -0.70828164D+04 10.5927708 0.0014933 EM
6 -0.70714885D+04 11.3278981 0.0015993 EM
7 -0.70617859D+04 9.7026508 0.0013721 EM
8 -0.70556792D+04 6.1067092 0.0008648 EM
9 -0.70529233D+04 2.7559198 0.0003906 EM
10 -0.70519764D+04 0.9468593 0.0001343 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.20656902D+05 0.0000000 0.0000000 EM
2 -0.71667113D+04 ************ 0.6530597 EM
3 -0.71242012D+04 42.5101281 0.0059316 EM
4 -0.71221277D+04 2.0735295 0.0002911 EM
5 -0.71210839D+04 1.0437204 0.0001465 EM
6 -0.71203473D+04 0.7366896 0.0001035 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.20177954D+05 0.0000000 0.0000000 EM
2 -0.71403094D+04 ************ 0.6461331 EM
3 -0.71301375D+04 10.1718682 0.0014246 EM
4 -0.71276582D+04 2.4792725 0.0003477 EM
5 -0.71263972D+04 1.2610497 0.0001769 EM
6 -0.71256585D+04 0.7386531 0.0001037 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.14966925D+05 0.0000000 0.0000000 EM
2 -0.71264817D+04 7840.4437683 0.5238513 EM
3 -0.71227609D+04 3.7208050 0.0005221 EM
4 -0.71219645D+04 0.7963587 0.0001118 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.14782554D+05 0.0000000 0.0000000 EM
2 -0.71400922D+04 7642.4614794 0.5169920 EM
3 -0.71254658D+04 14.6264080 0.0020485 EM
4 -0.71238602D+04 1.6055936 0.0002253 EM
5 -0.71227337D+04 1.1265793 0.0001581 EM
6 -0.71218549D+04 0.8788055 0.0001234 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.13704976D+05 0.0000000 0.0000000 EM
2 -0.71300344D+04 6574.9415756 0.4797485 EM
3 -0.71268286D+04 3.2058370 0.0004496 EM
4 -0.71261248D+04 0.7037991 0.0000988 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.11555814D+05 0.0000000 0.0000000 EM
2 -0.71710240D+04 4384.7896298 0.3794445 EM
3 -0.71281435D+04 42.8805111 0.0059797 EM
4 -0.71256986D+04 2.4448539 0.0003430 EM
5 -0.71248002D+04 0.8983690 0.0001261 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.14316007D+05 0.0000000 0.0000000 EM
2 -0.71400432D+04 7175.9633169 0.5012545 EM
3 -0.71298337D+04 10.2095421 0.0014299 EM
4 -0.71272897D+04 2.5439682 0.0003568 EM
5 -0.71262688D+04 1.0208705 0.0001432 EM
6 -0.71256908D+04 0.5780015 0.0000811 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.12539442D+05 0.0000000 0.0000000 EM
2 -0.71686879D+04 5370.7538381 0.4283088 EM
3 -0.71271418D+04 41.5461314 0.0057955 EM
4 -0.71240543D+04 3.0874992 0.0004332 EM
5 -0.71232781D+04 0.7761916 0.0001090 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15442819D+05 0.0000000 0.0000000 EM
2 -0.71512573D+04 8291.5617447 0.5369202 EM
3 -0.71329775D+04 18.2797558 0.0025562 EM
4 -0.71298319D+04 3.1456159 0.0004410 EM
5 -0.71280441D+04 1.7877852 0.0002507 EM
6 -0.71268223D+04 1.2218089 0.0001714 EM
7 -0.71258803D+04 0.9419567 0.0001322 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.11466845D+05 0.0000000 0.0000000 EM
2 -0.71753724D+04 4291.4722642 0.3742505 EM
3 -0.71236191D+04 51.7532935 0.0072126 EM
4 -0.71213168D+04 2.3023092 0.0003232 EM
5 -0.71204396D+04 0.8771754 0.0001232 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.14197606D+05 0.0000000 0.0000000 EM
2 -0.71693699D+04 7028.2364820 0.4950297 EM
3 -0.71371642D+04 32.2056984 0.0044921 EM
4 -0.71312018D+04 5.9624334 0.0008354 EM
5 -0.71285928D+04 2.6089663 0.0003659 EM
6 -0.71271563D+04 1.4364977 0.0002015 EM
7 -0.71262659D+04 0.8904061 0.0001249 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.11332174D+05 0.0000000 0.0000000 EM
2 -0.71512444D+04 4180.9295041 0.3689433 EM
3 -0.71308667D+04 20.3776728 0.0028495 EM
4 -0.71268266D+04 4.0400542 0.0005666 EM
5 -0.71255604D+04 1.2662054 0.0001777 EM
6 -0.71249989D+04 0.5615421 0.0000788 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.11117933D+05 0.0000000 0.0000000 EM
2 -0.71420498D+04 3975.8832995 0.3576099 EM
3 -0.71282227D+04 13.8271218 0.0019360 EM
4 -0.71271407D+04 1.0819540 0.0001518 EM
5 -0.71266268D+04 0.5139433 0.0000721 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15640701D+05 0.0000000 0.0000000 EM
2 -0.71418906D+04 8498.8104754 0.5433778 EM
3 -0.71233348D+04 18.5557434 0.0025982 EM
4 -0.71224503D+04 0.8845190 0.0001242 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15305848D+05 0.0000000 0.0000000 EM
2 -0.71541896D+04 8151.6588415 0.5325846 EM
3 -0.71257954D+04 28.3941513 0.0039689 EM
4 -0.71253250D+04 0.4704737 0.0000660 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.14844671D+05 0.0000000 0.0000000 EM
2 -0.71372267D+04 7707.4438060 0.5192061 EM
3 -0.71292518D+04 7.9749613 0.0011174 EM
4 -0.71278448D+04 1.4069415 0.0001973 EM
5 -0.71268491D+04 0.9957254 0.0001397 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.23602800D+05 0.0000000 0.0000000 EM
2 -0.71847073D+04 ************ 0.6955994 EM
3 -0.71306309D+04 54.0764382 0.0075266 EM
4 -0.71285004D+04 2.1304950 0.0002988 EM
5 -0.71273047D+04 1.1957161 0.0001677 EM
6 -0.71264656D+04 0.8390186 0.0001177 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.21153475D+05 0.0000000 0.0000000 EM
2 -0.71271772D+04 ************ 0.6630730 EM
3 -0.71255128D+04 1.6643103 0.0002335 EM
4 -0.71252388D+04 0.2740738 0.0000385 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.20936058D+05 0.0000000 0.0000000 EM
2 -0.71358718D+04 ************ 0.6591588 EM
3 -0.71014331D+04 34.4386238 0.0048261 EM
4 -0.70865132D+04 14.9199194 0.0021010 EM
5 -0.70737202D+04 12.7930553 0.0018053 EM
6 -0.70636225D+04 10.0976545 0.0014275 EM
7 -0.70571491D+04 6.4734186 0.0009164 EM
8 -0.70538431D+04 3.3060067 0.0004685 EM
9 -0.70524386D+04 1.4045021 0.0001991 EM
10 -0.70519023D+04 0.5363307 0.0000760 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18171725D+05 0.0000000 0.0000000 EM
2 -0.71211071D+04 ************ 0.6081216 EM
3 -0.71141050D+04 7.0020430 0.0009833 EM
4 -0.71100465D+04 4.0585876 0.0005705 EM
5 -0.71044488D+04 5.5976198 0.0007873 EM
6 -0.70967672D+04 7.6816322 0.0010812 EM
7 -0.70870161D+04 9.7511193 0.0013740 EM
8 -0.70763283D+04 10.6877882 0.0015081 EM
9 -0.70667339D+04 9.5944141 0.0013558 EM
10 -0.70598046D+04 6.9292394 0.0009805 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
10 -0.70519023D+04 0.5363307 0.0000760 EM
11 -0.70517038D+04 0.1984911 0.0000281 EM
12 -0.70516289D+04 0.0748387 0.0000106 EM
13 -0.70515995D+04 0.0293799 0.0000042 EM
14 -0.70515875D+04 0.0120431 0.0000017 EM
15 -0.70515824D+04 0.0051249 0.0000007 EM
16 -0.70515801D+04 0.0022467 0.0000003 EM
17 -0.70515791D+04 0.0010077 0.0000001 EM
18 -0.70515787D+04 0.0004599 0.0000001 EM
19 -0.70515784D+04 0.0002127 0.0000000 EM
20 -0.70515783D+04 0.0000994 0.0000000 EM
21 -0.70515783D+04 0.0000468 0.0000000 EM
22 -0.70515783D+04 0.0000222 0.0000000 EM
23 -0.70515783D+04 0.0000106 0.0000000 EM
24 -0.70515783D+04 0.0000050 0.0000000 EM
25 -0.70515783D+04 0.0000024 0.0000000 EM
26 -0.70515783D+04 0.0000012 0.0000000 EM
27 -0.70515783D+04 0.0000006 0.0000000 EM
28 -0.70515783D+04 0.0000003 0.0000000 EM
29 -0.70515783D+04 0.0000001 0.0000000 EM
30 -0.70515783D+04 0.0000001 0.0000000 EM
31 -0.70515783D+04 0.0000000 0.0000000 EM
32 -0.70515783D+04 0.0000000 0.0000000 EM
33 -0.70515783D+04 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
10 -0.70519764D+04 0.9468593 0.0001343 EM
11 -0.70516978D+04 0.2785845 0.0000395 EM
12 -0.70516180D+04 0.0798146 0.0000113 EM
13 -0.70515933D+04 0.0247217 0.0000035 EM
14 -0.70515846D+04 0.0087268 0.0000012 EM
15 -0.70515811D+04 0.0034839 0.0000005 EM
16 -0.70515796D+04 0.0015122 0.0000002 EM
17 -0.70515789D+04 0.0006877 0.0000001 EM
18 -0.70515785D+04 0.0003202 0.0000000 EM
19 -0.70515784D+04 0.0001506 0.0000000 EM
20 -0.70515783D+04 0.0000712 0.0000000 EM
21 -0.70515783D+04 0.0000338 0.0000000 EM
22 -0.70515783D+04 0.0000160 0.0000000 EM
23 -0.70515783D+04 0.0000076 0.0000000 EM
24 -0.70515783D+04 0.0000036 0.0000000 EM
25 -0.70515783D+04 0.0000017 0.0000000 EM
26 -0.70515783D+04 0.0000008 0.0000000 EM
27 -0.70515783D+04 0.0000004 0.0000000 EM
28 -0.70515783D+04 0.0000002 0.0000000 EM
29 -0.70515783D+04 0.0000001 0.0000000 EM
30 -0.70515783D+04 0.0000000 0.0000000 EM
31 -0.70515783D+04 0.0000000 0.0000000 EM
32 -0.70515783D+04 0.0000000 0.0000000 EM
33 -0.70515783D+04 0.0000000 0.0000000 EM
34 -0.70515783D+04 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
10 -0.70598046D+04 6.9292394 0.0009805 EM
11 -0.70556663D+04 4.1383538 0.0005862 EM
12 -0.70535067D+04 2.1596011 0.0003061 EM
13 -0.70524671D+04 1.0396119 0.0001474 EM
14 -0.70519862D+04 0.4809222 0.0000682 EM
15 -0.70517665D+04 0.2196908 0.0000312 EM
16 -0.70516659D+04 0.1006153 0.0000143 EM
17 -0.70516194D+04 0.0464805 0.0000066 EM
18 -0.70515977D+04 0.0216801 0.0000031 EM
19 -0.70515875D+04 0.0101956 0.0000014 EM
20 -0.70515827D+04 0.0048276 0.0000007 EM
21 -0.70515804D+04 0.0022972 0.0000003 EM
22 -0.70515793D+04 0.0010974 0.0000002 EM
23 -0.70515787D+04 0.0005257 0.0000001 EM
24 -0.70515785D+04 0.0002526 0.0000000 EM
25 -0.70515784D+04 0.0001214 0.0000000 EM
26 -0.70515783D+04 0.0000584 0.0000000 EM
27 -0.70515783D+04 0.0000281 0.0000000 EM
28 -0.70515783D+04 0.0000135 0.0000000 EM
29 -0.70515783D+04 0.0000065 0.0000000 EM
30 -0.70515783D+04 0.0000032 0.0000000 EM
31 -0.70515783D+04 0.0000015 0.0000000 EM
32 -0.70515783D+04 0.0000007 0.0000000 EM
33 -0.70515783D+04 0.0000004 0.0000000 EM
34 -0.70515783D+04 0.0000002 0.0000000 EM
35 -0.70515783D+04 0.0000001 0.0000000 EM
36 -0.70515783D+04 0.0000000 0.0000000 EM
37 -0.70515783D+04 0.0000000 0.0000000 EM
38 -0.70515783D+04 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
6 -0.71203473D+04 0.7366896 0.0001035 EM
7 -0.71198209D+04 0.5263686 0.0000739 EM
8 -0.71194367D+04 0.3841721 0.0000540 EM
9 -0.71191423D+04 0.2944294 0.0000414 EM
10 -0.71188993D+04 0.2430279 0.0000341 EM
11 -0.71186812D+04 0.2180664 0.0000306 EM
12 -0.71184707D+04 0.2105334 0.0000296 EM
13 -0.71182564D+04 0.2142681 0.0000301 EM
14 -0.71180310D+04 0.2253514 0.0000317 EM
15 -0.71177896D+04 0.2414854 0.0000339 EM
16 -0.71175282D+04 0.2613858 0.0000367 EM
17 -0.71172438D+04 0.2843482 0.0000400 EM
18 -0.71169339D+04 0.3099562 0.0000436 EM
19 -0.71165960D+04 0.3378822 0.0000475 EM
20 -0.71162282D+04 0.3677388 0.0000517 EM
21 -0.71158292D+04 0.3989983 0.0000561 EM
22 -0.71153984D+04 0.4308769 0.0000606 EM
23 -0.71149361D+04 0.4623027 0.0000650 EM
24 -0.71144442D+04 0.4918657 0.0000691 EM
25 -0.71139264D+04 0.5178267 0.0000728 EM
26 -0.71133882D+04 0.5381904 0.0000757 EM
27 -0.71128373D+04 0.5508998 0.0000774 EM
28 -0.71122833D+04 0.5540184 0.0000779 EM
29 -0.71117371D+04 0.5461179 0.0000768 EM
30 -0.71112106D+04 0.5265260 0.0000740 EM
31 -0.71107150D+04 0.4956279 0.0000697 EM
32 -0.71102601D+04 0.4549054 0.0000640 EM
33 -0.71098533D+04 0.4068319 0.0000572 EM
34 -0.71094988D+04 0.3544816 0.0000499 EM
35 -0.71091977D+04 0.3011168 0.0000424 EM
36 -0.71082394D+04 0.9582931 0.0001348 FS
37 -0.71081197D+04 0.1196628 0.0000168 FS
38 -0.71080969D+04 0.0227637 0.0000032 FS
39 -0.71080898D+04 0.0071570 0.0000010 FS
40 -0.71080875D+04 0.0023264 0.0000003 FS
41 -0.71080865D+04 0.0009249 0.0000001 FS
42 -0.71080862D+04 0.0003599 0.0000001 FS
43 -0.71080860D+04 0.0001513 0.0000000 FS
44 -0.71080860D+04 0.0000624 0.0000000 FS
45 -0.71080859D+04 0.0000265 0.0000000 FS
46 -0.71080859D+04 0.0000112 0.0000000 FS
47 -0.71080859D+04 0.0000048 0.0000000 FS
48 -0.71080859D+04 0.0000020 0.0000000 FS
49 -0.71080859D+04 0.0000009 0.0000000 FS
50 -0.71080859D+04 0.0000004 0.0000000 FS
51 -0.71080859D+04 0.0000002 0.0000000 FS
52 -0.71080859D+04 0.0000001 0.0000000 FS
53 -0.71080859D+04 0.0000000 0.0000000 EM
54 -0.71080859D+04 0.0000000 0.0000000 EM
Available post-processing tools
Conditional probabilities and odds for the latent class variables
Beginning Time: 23:17:41
Ending Time: 23:17:41
Elapsed Time: 00:00:00
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