Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:13 PM
INPUT INSTRUCTIONS
TITLE: this is an example of a LCA with
binary latent class indicators using
automatic starting values with random starts
DATA: FILE IS ex7.3.dat;
VARIABLE: NAMES ARE u1-u4 x1-x10;
USEVARIABLES = u1-u4;
CLASSES = c (2);
CATEGORICAL = u1-u4;
AUXILIARY = x1-x10 (e);
ANALYSIS: TYPE = MIXTURE;
OUTPUT: TECH1 TECH8 TECH10;
INPUT READING TERMINATED NORMALLY
this is an example of a LCA with
binary latent class indicators using
automatic starting values with random starts
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 500
Number of dependent variables 4
Number of independent variables 0
Number of continuous latent variables 0
Number of categorical latent variables 1
Observed dependent variables
Binary and ordered categorical (ordinal)
U1 U2 U3 U4
Observed auxiliary variables
X1 X2 X3 X4 X5 X6
X7 X8 X9 X10
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-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
Link LOGIT
Input data file(s)
ex7.3.dat
Input data format FREE
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
U1
Category 1 0.678 339.000
Category 2 0.322 161.000
U2
Category 1 0.686 343.000
Category 2 0.314 157.000
U3
Category 1 0.322 161.000
Category 2 0.678 339.000
U4
Category 1 0.334 167.000
Category 2 0.666 333.000
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:
-965.244 253358 2
-965.244 93468 3
-965.244 939021 8
-965.244 76974 16
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
WARNING: AUXILIARY (E) CAN GIVE BIASED RESULTS AND IS SUPERSEDED BY THE BCH AND DU3STEP OPTIONS.
USE AUXILIARY (E) ONLY FOR METHODS RESEARCH PURPOSES.
MODEL FIT INFORMATION
Number of Free Parameters 9
Loglikelihood
H0 Value -965.244
H0 Scaling Correction Factor 1.0131
for MLR
Information Criteria
Akaike (AIC) 1948.488
Bayesian (BIC) 1986.420
Sample-Size Adjusted BIC 1957.853
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Value 6.287
Degrees of Freedom 6
P-Value 0.3918
Likelihood Ratio Chi-Square
Value 5.605
Degrees of Freedom 6
P-Value 0.4688
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 136.38064 0.27276
2 363.61936 0.72724
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 136.38064 0.27276
2 363.61936 0.72724
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 127 0.25400
2 373 0.74600
CLASSIFICATION QUALITY
Entropy 0.904
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.986 0.014
2 0.030 0.970
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.918 0.082
2 0.005 0.995
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 2.422 0.000
2 -5.339 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
Thresholds
U1$1 -2.063 0.373 -5.536 0.000
U2$1 -1.724 0.300 -5.755 0.000
U3$1 2.331 0.390 5.985 0.000
U4$1 2.078 0.320 6.490 0.000
Latent Class 2
Thresholds
U1$1 2.091 0.182 11.502 0.000
U2$1 2.056 0.180 11.401 0.000
U3$1 -2.187 0.203 -10.760 0.000
U4$1 -1.937 0.183 -10.613 0.000
Categorical Latent Variables
Means
C#1 -0.981 0.116 -8.468 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.600E-01
(ratio of smallest to largest eigenvalue)
RESULTS IN PROBABILITY SCALE
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
U1
Category 1 0.113 0.037 3.024 0.002
Category 2 0.887 0.037 23.800 0.000
U2
Category 1 0.151 0.038 3.934 0.000
Category 2 0.849 0.038 22.056 0.000
U3
Category 1 0.911 0.031 28.987 0.000
Category 2 0.089 0.031 2.817 0.005
U4
Category 1 0.889 0.032 28.072 0.000
Category 2 0.111 0.032 3.514 0.000
Latent Class 2
U1
Category 1 0.890 0.018 50.016 0.000
Category 2 0.110 0.018 6.181 0.000
U2
Category 1 0.887 0.018 48.873 0.000
Category 2 0.113 0.018 6.256 0.000
U3
Category 1 0.101 0.018 5.472 0.000
Category 2 0.899 0.018 48.748 0.000
U4
Category 1 0.126 0.020 6.267 0.000
Category 2 0.874 0.020 43.498 0.000
LATENT CLASS INDICATOR ODDS RATIOS FOR THE LATENT CLASSES
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Latent Class 1 Compared to Latent Class 2
U1
Category > 1 63.673 25.877 28.708 141.221
U2
Category > 1 43.796 14.941 22.441 85.473
U3
Category > 1 0.011 0.005 0.005 0.025
U4
Category > 1 0.018 0.007 0.009 0.037
EQUALITY TESTS OF MEANS ACROSS CLASSES USING POSTERIOR PROBABILITY-BASED
MULTIPLE IMPUTATIONS WITH 1 DEGREE(S) OF FREEDOM FOR THE OVERALL TEST
X1
Mean S.E.
Class 1 1.660 0.146
Class 2 -1.984 0.067
Chi-Square P-Value
Overall test 504.821 0.000
X2
Mean S.E.
Class 1 1.613 0.153
Class 2 -1.975 0.063
Chi-Square P-Value
Overall test 451.062 0.000
X3
Mean S.E.
Class 1 0.855 0.099
Class 2 -0.961 0.057
Chi-Square P-Value
Overall test 246.680 0.000
X4
Mean S.E.
Class 1 0.653 0.099
Class 2 -0.946 0.055
Chi-Square P-Value
Overall test 194.248 0.000
X5
Mean S.E.
Class 1 0.085 0.094
Class 2 -0.037 0.054
Chi-Square P-Value
Overall test 1.241 0.265
X6
Mean S.E.
Class 1 -0.029 0.088
Class 2 -0.030 0.051
Chi-Square P-Value
Overall test 0.000 0.994
X7
Mean S.E.
Class 1 -0.681 0.110
Class 2 0.921 0.054
Chi-Square P-Value
Overall test 165.266 0.000
X8
Mean S.E.
Class 1 -0.793 0.103
Class 2 0.904 0.058
Chi-Square P-Value
Overall test 194.849 0.000
X9
Mean S.E.
Class 1 -1.511 0.152
Class 2 1.864 0.062
Chi-Square P-Value
Overall test 408.496 0.000
X10
Mean S.E.
Class 1 -1.743 0.154
Class 2 1.957 0.063
Chi-Square P-Value
Overall test 484.687 0.000
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
PARAMETER SPECIFICATION FOR LATENT CLASS 2
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART
LAMBDA(U)
C#1 C#2
________ ________
U1 1 2
U2 3 4
U3 5 6
U4 7 8
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
9 0
STARTING VALUES FOR LATENT CLASS 1
STARTING VALUES FOR LATENT CLASS 2
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART
LAMBDA(U)
C#1 C#2
________ ________
U1 0.255 -1.745
U2 0.219 -1.781
U3 1.745 -0.255
U4 1.690 -0.310
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
TECHNICAL 10 OUTPUT
MODEL FIT INFORMATION FOR THE LATENT CLASS INDICATOR MODEL PART
RESPONSE PATTERNS
No. Pattern No. Pattern No. Pattern No. Pattern
1 1101 2 1000 3 0011 4 1100
5 0111 6 0010 7 0001 8 1011
9 1010 10 0101 11 1110 12 0100
13 0000 14 1111 15 0110 16 1001
RESPONSE PATTERN FREQUENCIES AND CHI-SQUARE CONTRIBUTIONS
Response Frequency Standardized Chi-square Contribution
Pattern Observed Estimated Residual Pearson Loglikelihood Deleted
(z-score)
1 11.00 10.81 0.06 0.00 0.38
2 14.00 15.29 -0.33 0.11 -2.46
3 230.00 225.48 0.41 0.09 9.13
4 85.00 83.24 0.21 0.04 3.56
5 27.00 28.99 -0.38 0.14 -3.84
6 28.00 32.67 -0.84 0.67 -8.63
7 23.00 25.54 -0.52 0.25 -4.83
8 28.00 28.04 -0.01 0.00 -0.09
9 6.00 5.46 0.23 0.05 1.14
10 5.00 4.56 0.21 0.04 0.91
11 8.00 8.60 -0.21 0.04 -1.15
12 9.00 11.04 -0.62 0.38 -3.67
13 10.00 5.53 1.91 3.61 11.84
14 5.00 4.58 0.20 0.04 0.88
15 7.00 5.19 0.80 0.63 4.20
16 4.00 4.99 -0.44 0.19 -1.76
THE TOTAL PEARSON CHI-SQUARE CONTRIBUTION FROM EMPTY CELLS IS 0.00
UNIVARIATE MODEL FIT INFORMATION
Estimated Probabilities
Standardized
Variable H1 H0 Residual
(z-score)
U1
Category 1 0.678 0.678 0.000
Category 2 0.322 0.322 0.000
Univariate Pearson Chi-Square 0.000
Univariate Log-Likelihood Chi-Square 0.000
Number of Significant Standardized Residuals 0
U2
Category 1 0.686 0.686 0.000
Category 2 0.314 0.314 0.000
Univariate Pearson Chi-Square 0.000
Univariate Log-Likelihood Chi-Square 0.000
Number of Significant Standardized Residuals 0
U3
Category 1 0.322 0.322 0.000
Category 2 0.678 0.678 0.000
Univariate Pearson Chi-Square 0.000
Univariate Log-Likelihood Chi-Square 0.000
Number of Significant Standardized Residuals 0
U4
Category 1 0.334 0.334 0.000
Category 2 0.666 0.666 0.000
Univariate Pearson Chi-Square 0.000
Univariate Log-Likelihood Chi-Square 0.000
Number of Significant Standardized Residuals 0
Overall Univariate Pearson Chi-Square 0.000
Overall Univariate Log-Likelihood Chi-Square 0.000
Overall Number of Significant Standardized Residuals 0
BIVARIATE MODEL FIT INFORMATION
Estimated Probabilities
Standardized
Variable Variable H1 H0 Residual
(z-score)
U1 U2
Category 1 Category 1 0.582 0.578 0.161
Category 1 Category 2 0.096 0.100 -0.265
Category 2 Category 1 0.104 0.108 -0.256
Category 2 Category 2 0.218 0.214 0.193
Bivariate Pearson Chi-Square 0.162
Bivariate Log-Likelihood Chi-Square 0.163
Number of Significant Standardized Residuals 0
U1 U3
Category 1 Category 1 0.094 0.093 0.050
Category 1 Category 2 0.584 0.585 -0.029
Category 2 Category 1 0.228 0.229 -0.034
Category 2 Category 2 0.094 0.093 0.050
Bivariate Pearson Chi-Square 0.006
Bivariate Log-Likelihood Chi-Square 0.006
Number of Significant Standardized Residuals 0
U1 U4
Category 1 Category 1 0.108 0.109 -0.061
Category 1 Category 2 0.570 0.569 0.038
Category 2 Category 1 0.226 0.225 0.045
Category 2 Category 2 0.096 0.097 -0.064
Bivariate Pearson Chi-Square 0.009
Bivariate Log-Likelihood Chi-Square 0.009
Number of Significant Standardized Residuals 0
U2 U3
Category 1 Category 1 0.102 0.103 -0.052
Category 1 Category 2 0.584 0.583 0.032
Category 2 Category 1 0.220 0.219 0.038
Category 2 Category 2 0.094 0.095 -0.053
Bivariate Pearson Chi-Square 0.007
Bivariate Log-Likelihood Chi-Square 0.007
Number of Significant Standardized Residuals 0
U2 U4
Category 1 Category 1 0.116 0.118 -0.131
Category 1 Category 2 0.570 0.568 0.085
Category 2 Category 1 0.218 0.216 0.103
Category 2 Category 2 0.096 0.098 -0.142
Bivariate Pearson Chi-Square 0.045
Bivariate Log-Likelihood Chi-Square 0.045
Number of Significant Standardized Residuals 0
U3 U4
Category 1 Category 1 0.236 0.230 0.309
Category 1 Category 2 0.086 0.092 -0.450
Category 2 Category 1 0.098 0.104 -0.426
Category 2 Category 2 0.580 0.574 0.263
Bivariate Pearson Chi-Square 0.450
Bivariate Log-Likelihood Chi-Square 0.456
Number of Significant Standardized Residuals 0
Overall Bivariate Pearson Chi-Square 0.678
Overall Bivariate Log-Likelihood Chi-Square 0.686
Overall Number of Significant Standardized Residuals 0
UNIVARIATE DISTRIBUTION FIT FOR CLASS 1
Variable Observed Estimated Residual (Obs.-Est.) Stand. Residual
U1
Category 1 0.113 0.113 0.000 0.000
Category 2 0.887 0.887 0.000 0.000
U2
Category 1 0.151 0.151 0.000 0.000
Category 2 0.849 0.849 0.000 0.000
U3
Category 1 0.911 0.911 0.000 0.000
Category 2 0.089 0.089 0.000 0.000
U4
Category 1 0.889 0.889 0.000 0.000
Category 2 0.111 0.111 0.000 0.000
BIVARIATE DISTRIBUTIONS FIT FOR CLASS 1
Variable Variable Observed Estimated Residual (Obs.-Est.) Stand. Residual
U1 U2
Category 1 Category 1 0.028 0.017 0.011 0.974
Category 1 Category 2 0.085 0.096 -0.011 -0.429
Category 2 Category 1 0.124 0.134 -0.011 -0.370
Category 2 Category 2 0.764 0.753 0.011 0.293
U1 U3
Category 1 Category 1 0.100 0.103 -0.002 -0.092
Category 1 Category 2 0.012 0.010 0.002 0.280
Category 2 Category 1 0.811 0.809 0.002 0.071
Category 2 Category 2 0.076 0.079 -0.002 -0.103
U1 U4
Category 1 Category 1 0.100 0.100 -0.001 -0.027
Category 1 Category 2 0.013 0.013 0.001 0.073
Category 2 Category 1 0.789 0.789 0.001 0.020
Category 2 Category 2 0.098 0.099 -0.001 -0.027
U2 U3
Category 1 Category 1 0.137 0.138 -0.001 -0.029
Category 1 Category 2 0.014 0.013 0.001 0.088
Category 2 Category 1 0.774 0.773 0.001 0.024
Category 2 Category 2 0.074 0.075 -0.001 -0.038
U2 U4
Category 1 Category 1 0.137 0.135 0.003 0.098
Category 1 Category 2 0.014 0.017 -0.003 -0.260
Category 2 Category 1 0.751 0.754 -0.003 -0.078
Category 2 Category 2 0.097 0.094 0.003 0.114
U3 U4
Category 1 Category 1 0.811 0.810 0.001 0.018
Category 1 Category 2 0.101 0.101 -0.001 -0.024
Category 2 Category 1 0.078 0.079 -0.001 -0.027
Category 2 Category 2 0.010 0.010 0.001 0.073
UNIVARIATE DISTRIBUTION FIT FOR CLASS 2
Variable Observed Estimated Residual (Obs.-Est.) Stand. Residual
U1
Category 1 0.890 0.890 0.000 0.000
Category 2 0.110 0.110 0.000 0.000
U2
Category 1 0.887 0.887 0.000 0.000
Category 2 0.113 0.113 0.000 0.000
U3
Category 1 0.101 0.101 0.000 0.000
Category 2 0.899 0.899 0.000 0.000
U4
Category 1 0.126 0.126 0.000 0.000
Category 2 0.874 0.874 0.000 0.000
BIVARIATE DISTRIBUTIONS FIT FOR CLASS 2
Variable Variable Observed Estimated Residual (Obs.-Est.) Stand. Residual
U1 U2
Category 1 Category 1 0.790 0.789 0.001 0.039
Category 1 Category 2 0.100 0.101 -0.001 -0.052
Category 2 Category 1 0.097 0.098 -0.001 -0.053
Category 2 Category 2 0.013 0.012 0.001 0.142
U1 U3
Category 1 Category 1 0.092 0.090 0.002 0.119
Category 1 Category 2 0.798 0.800 -0.002 -0.085
Category 2 Category 1 0.009 0.011 -0.002 -0.324
Category 2 Category 2 0.101 0.099 0.002 0.114
U1 U4
Category 1 Category 1 0.111 0.112 -0.001 -0.054
Category 1 Category 2 0.779 0.778 0.001 0.041
Category 2 Category 1 0.015 0.014 0.001 0.147
Category 2 Category 2 0.095 0.096 -0.001 -0.058
U2 U3
Category 1 Category 1 0.089 0.089 -0.001 -0.043
Category 1 Category 2 0.798 0.797 0.001 0.030
Category 2 Category 1 0.012 0.011 0.001 0.114
Category 2 Category 2 0.101 0.102 -0.001 -0.040
U2 U4
Category 1 Category 1 0.108 0.112 -0.004 -0.222
Category 1 Category 2 0.779 0.775 0.004 0.168
Category 2 Category 1 0.018 0.014 0.004 0.590
Category 2 Category 2 0.096 0.099 -0.004 -0.234
U3 U4
Category 1 Category 1 0.020 0.013 0.008 1.321
Category 1 Category 2 0.080 0.088 -0.008 -0.522
Category 2 Category 1 0.105 0.113 -0.008 -0.467
Category 2 Category 2 0.794 0.786 0.008 0.361
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.13869879D+04 0.0000000 0.0000000 EM
2 -0.12702693D+04 116.7185367 0.0841525 EM
3 -0.12589112D+04 11.3581502 0.0089415 EM
4 -0.12478774D+04 11.0337489 0.0087645 EM
5 -0.11983398D+04 49.5376061 0.0396975 EM
6 -0.10772317D+04 121.1080636 0.1010632 EM
7 -0.10051822D+04 72.0495455 0.0668840 EM
8 -0.98532143D+03 19.8607722 0.0197584 EM
9 -0.97512648D+03 10.1949488 0.0103468 EM
10 -0.97007663D+03 5.0498505 0.0051787 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15116121D+04 0.0000000 0.0000000 EM
2 -0.11480793D+04 363.5328009 0.2404934 EM
3 -0.10461566D+04 101.9227111 0.0887767 EM
4 -0.10145372D+04 31.6194102 0.0302244 EM
5 -0.99710032D+03 17.4368618 0.0171870 EM
6 -0.98230351D+03 14.7968176 0.0148398 EM
7 -0.97355276D+03 8.7507460 0.0089084 EM
8 -0.96932847D+03 4.2242926 0.0043390 EM
9 -0.96727928D+03 2.0491854 0.0021140 EM
10 -0.96625386D+03 1.0254204 0.0010601 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15000208D+04 0.0000000 0.0000000 EM
2 -0.97385583D+03 526.1649184 0.3507718 EM
3 -0.96721955D+03 6.6362839 0.0068144 EM
4 -0.96593581D+03 1.2837366 0.0013272 EM
5 -0.96551949D+03 0.4163233 0.0004310 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15446417D+04 0.0000000 0.0000000 EM
2 -0.10562425D+04 488.3992421 0.3161893 EM
3 -0.96991442D+03 86.3280665 0.0817313 EM
4 -0.96549509D+03 4.4193308 0.0045564 EM
5 -0.96528859D+03 0.2065026 0.0002139 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.13675461D+04 0.0000000 0.0000000 EM
2 -0.12613574D+04 106.1887504 0.0776491 EM
3 -0.12464494D+04 14.9080102 0.0118190 EM
4 -0.11789977D+04 67.4516817 0.0541151 EM
5 -0.10213105D+04 157.6872253 0.1337468 EM
6 -0.96950196D+03 51.8084932 0.0507275 EM
7 -0.96669533D+03 2.8066284 0.0028949 EM
8 -0.96594213D+03 0.7532030 0.0007792 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.19471580D+04 0.0000000 0.0000000 EM
2 -0.12804435D+04 666.7144669 0.3424039 EM
3 -0.12644716D+04 15.9719368 0.0124738 EM
4 -0.12584280D+04 6.0435562 0.0047795 EM
5 -0.12467505D+04 11.6775060 0.0092794 EM
6 -0.11636209D+04 83.1295947 0.0666770 EM
7 -0.10038791D+04 159.7418389 0.1372800 EM
8 -0.97199363D+03 31.8854758 0.0317623 EM
9 -0.96723580D+03 4.7578244 0.0048949 EM
10 -0.96596815D+03 1.2676543 0.0013106 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.22235298D+04 0.0000000 0.0000000 EM
2 -0.11875514D+04 1035.9783955 0.4659161 EM
3 -0.10399659D+04 147.5854958 0.1242771 EM
4 -0.98585714D+03 54.1087592 0.0520294 EM
5 -0.97461678D+03 11.2403661 0.0114016 EM
6 -0.96979329D+03 4.8234909 0.0049491 EM
7 -0.96750381D+03 2.2894796 0.0023608 EM
8 -0.96636652D+03 1.1372858 0.0011755 EM
9 -0.96579457D+03 0.5719482 0.0005919 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16319304D+04 0.0000000 0.0000000 EM
2 -0.10255918D+04 606.3386568 0.3715469 EM
3 -0.10188865D+04 6.7053289 0.0065380 EM
4 -0.10102510D+04 8.6354763 0.0084754 EM
5 -0.99498339D+03 15.2675833 0.0151127 EM
6 -0.97906686D+03 15.9165393 0.0159968 EM
7 -0.97122814D+03 7.8387109 0.0080063 EM
8 -0.96809300D+03 3.1351488 0.0032280 EM
9 -0.96664685D+03 1.4461480 0.0014938 EM
10 -0.96593282D+03 0.7140328 0.0007387 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16040280D+04 0.0000000 0.0000000 EM
2 -0.12321579D+04 371.8700258 0.2318351 EM
3 -0.10592858D+04 172.8721781 0.1403003 EM
4 -0.97851276D+03 80.7730107 0.0762523 EM
5 -0.97047796D+03 8.0348000 0.0082112 EM
6 -0.96687787D+03 3.6000867 0.0037096 EM
7 -0.96579270D+03 1.0851748 0.0011223 EM
8 -0.96545790D+03 0.3348001 0.0003467 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.22793079D+04 0.0000000 0.0000000 EM
2 -0.11069887D+04 1172.3192038 0.5143312 EM
3 -0.10583793D+04 48.6093468 0.0439113 EM
4 -0.10413742D+04 17.0051299 0.0160671 EM
5 -0.10299223D+04 11.4519536 0.0109970 EM
6 -0.10161584D+04 13.7639034 0.0133640 EM
7 -0.10005327D+04 15.6256929 0.0153772 EM
8 -0.98551375D+03 15.0189203 0.0150109 EM
9 -0.97515262D+03 10.3611266 0.0105134 EM
10 -0.97002150D+03 5.1311241 0.0052619 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.31179791D+04 0.0000000 0.0000000 EM
2 -0.12444524D+04 1873.5266839 0.6008785 EM
3 -0.11699978D+04 74.4546229 0.0598292 EM
4 -0.10979763D+04 72.0214727 0.0615569 EM
5 -0.10574964D+04 40.4798461 0.0368677 EM
6 -0.10422538D+04 15.2426327 0.0144139 EM
7 -0.10289875D+04 13.2662797 0.0127285 EM
8 -0.10120582D+04 16.9292825 0.0164524 EM
9 -0.99365065D+03 18.4075940 0.0181883 EM
10 -0.97977343D+03 13.8772158 0.0139659 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18054063D+04 0.0000000 0.0000000 EM
2 -0.10249527D+04 780.4535851 0.4322870 EM
3 -0.98161080D+03 43.3418991 0.0422867 EM
4 -0.97097898D+03 10.6318208 0.0108310 EM
5 -0.96772712D+03 3.2518590 0.0033491 EM
6 -0.96642920D+03 1.2979202 0.0013412 EM
7 -0.96581851D+03 0.6106819 0.0006319 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18897512D+04 0.0000000 0.0000000 EM
2 -0.12351379D+04 654.6133029 0.3464018 EM
3 -0.11172058D+04 117.9321629 0.0954810 EM
4 -0.10069352D+04 110.2705471 0.0987021 EM
5 -0.98155888D+03 25.3763339 0.0252016 EM
6 -0.97304404D+03 8.5148430 0.0086748 EM
7 -0.96907828D+03 3.9657591 0.0040756 EM
8 -0.96715327D+03 1.9250017 0.0019864 EM
9 -0.96618991D+03 0.9633622 0.0009961 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.13427210D+04 0.0000000 0.0000000 EM
2 -0.98958236D+03 353.1386200 0.2630022 EM
3 -0.97308015D+03 16.5022106 0.0166759 EM
4 -0.96865755D+03 4.4225968 0.0045449 EM
5 -0.96689174D+03 1.7658115 0.0018229 EM
6 -0.96605103D+03 0.8407141 0.0008695 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.28159305D+04 0.0000000 0.0000000 EM
2 -0.12603418D+04 1555.5886958 0.5524244 EM
3 -0.12072986D+04 53.0432761 0.0420864 EM
4 -0.11468888D+04 60.4098112 0.0500372 EM
5 -0.10908355D+04 56.0532467 0.0488742 EM
6 -0.10616778D+04 29.1577338 0.0267297 EM
7 -0.10505687D+04 11.1090788 0.0104637 EM
8 -0.10391866D+04 11.3821361 0.0108343 EM
9 -0.10232461D+04 15.9404753 0.0153394 EM
10 -0.10044636D+04 18.7824995 0.0183558 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16054417D+04 0.0000000 0.0000000 EM
2 -0.12634854D+04 341.9563118 0.2129983 EM
3 -0.12208126D+04 42.6728112 0.0337739 EM
4 -0.11078778D+04 112.9347926 0.0925079 EM
5 -0.10082026D+04 99.6752613 0.0899695 EM
6 -0.98366031D+03 24.5422571 0.0243426 EM
7 -0.97409946D+03 9.5608524 0.0097197 EM
8 -0.96956995D+03 4.5295144 0.0046500 EM
9 -0.96739359D+03 2.1763610 0.0022447 EM
10 -0.96631033D+03 1.0832593 0.0011198 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.13869042D+04 0.0000000 0.0000000 EM
2 -0.10835166D+04 303.3876494 0.2187517 EM
3 -0.98367326D+03 99.8432979 0.0921475 EM
4 -0.97028845D+03 13.3848041 0.0136070 EM
5 -0.96685733D+03 3.4311200 0.0035362 EM
6 -0.96584854D+03 1.0087921 0.0010434 EM
7 -0.96548979D+03 0.3587519 0.0003714 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.29268154D+04 0.0000000 0.0000000 EM
2 -0.10620013D+04 1864.8140480 0.6371478 EM
3 -0.10082281D+04 53.7732103 0.0506338 EM
4 -0.99157992D+03 16.6481976 0.0165123 EM
5 -0.97825706D+03 13.3228593 0.0134360 EM
6 -0.97139918D+03 6.8578806 0.0070103 EM
7 -0.96827623D+03 3.1229490 0.0032149 EM
8 -0.96675415D+03 1.5220842 0.0015720 EM
9 -0.96598941D+03 0.7647408 0.0007910 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.25092236D+04 0.0000000 0.0000000 EM
2 -0.10372505D+04 1471.9731893 0.5866249 EM
3 -0.99304514D+03 44.2053167 0.0426178 EM
4 -0.97684831D+03 16.1968297 0.0163103 EM
5 -0.97035820D+03 6.4901087 0.0066439 EM
6 -0.96770291D+03 2.6552841 0.0027364 EM
7 -0.96645399D+03 1.2489192 0.0012906 EM
8 -0.96583617D+03 0.6178279 0.0006393 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.29591680D+04 0.0000000 0.0000000 EM
2 -0.12835674D+04 1675.6005719 0.5662404 EM
3 -0.12593470D+04 24.2203553 0.0188696 EM
4 -0.12389982D+04 20.3488665 0.0161583 EM
5 -0.12063418D+04 32.6564078 0.0263571 EM
6 -0.11587874D+04 47.5543186 0.0394203 EM
7 -0.11054792D+04 53.3082606 0.0460035 EM
8 -0.10711046D+04 34.3745789 0.0310947 EM
9 -0.10595257D+04 11.5789253 0.0108103 EM
10 -0.10529623D+04 6.5634056 0.0061947 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.15746821D+04 0.0000000 0.0000000 EM
2 -0.12126864D+04 361.9957095 0.2298849 EM
3 -0.10471607D+04 165.5257274 0.1364951 EM
4 -0.96978319D+03 77.3774808 0.0738927 EM
5 -0.96600353D+03 3.7796633 0.0038974 EM
6 -0.96556698D+03 0.4365451 0.0004519 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
5 -0.96528859D+03 0.2065026 0.0002139 EM
6 -0.96525915D+03 0.0294404 0.0000305 EM
7 -0.96525050D+03 0.0086493 0.0000090 EM
8 -0.96524696D+03 0.0035394 0.0000037 EM
9 -0.96524539D+03 0.0015734 0.0000016 EM
10 -0.96524467D+03 0.0007113 0.0000007 EM
11 -0.96524435D+03 0.0003224 0.0000003 EM
12 -0.96524421D+03 0.0001461 0.0000002 EM
13 -0.96524414D+03 0.0000662 0.0000001 EM
14 -0.96524411D+03 0.0000299 0.0000000 EM
15 -0.96524410D+03 0.0000135 0.0000000 EM
16 -0.96524409D+03 0.0000061 0.0000000 EM
17 -0.96524409D+03 0.0000028 0.0000000 EM
18 -0.96524409D+03 0.0000013 0.0000000 EM
19 -0.96524409D+03 0.0000006 0.0000000 EM
20 -0.96524408D+03 0.0000003 0.0000000 EM
21 -0.96524408D+03 0.0000001 0.0000000 EM
22 -0.96524408D+03 0.0000001 0.0000000 EM
23 -0.96524408D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
8 -0.96545790D+03 0.3348001 0.0003467 EM
9 -0.96533377D+03 0.1241303 0.0001286 EM
10 -0.96528297D+03 0.0507996 0.0000526 EM
11 -0.96526122D+03 0.0217444 0.0000225 EM
12 -0.96525171D+03 0.0095144 0.0000099 EM
13 -0.96524749D+03 0.0042133 0.0000044 EM
14 -0.96524561D+03 0.0018791 0.0000019 EM
15 -0.96524477D+03 0.0008418 0.0000009 EM
16 -0.96524439D+03 0.0003782 0.0000004 EM
17 -0.96524422D+03 0.0001703 0.0000002 EM
18 -0.96524415D+03 0.0000767 0.0000001 EM
19 -0.96524411D+03 0.0000346 0.0000000 EM
20 -0.96524410D+03 0.0000156 0.0000000 EM
21 -0.96524409D+03 0.0000071 0.0000000 EM
22 -0.96524409D+03 0.0000032 0.0000000 EM
23 -0.96524409D+03 0.0000014 0.0000000 EM
24 -0.96524409D+03 0.0000007 0.0000000 EM
25 -0.96524408D+03 0.0000003 0.0000000 EM
26 -0.96524408D+03 0.0000001 0.0000000 EM
27 -0.96524408D+03 0.0000001 0.0000000 EM
28 -0.96524408D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
7 -0.96548979D+03 0.3587519 0.0003714 EM
8 -0.96534827D+03 0.1415246 0.0001466 EM
9 -0.96528932D+03 0.0589420 0.0000611 EM
10 -0.96526401D+03 0.0253123 0.0000262 EM
11 -0.96525294D+03 0.0110712 0.0000115 EM
12 -0.96524804D+03 0.0048978 0.0000051 EM
13 -0.96524586D+03 0.0021825 0.0000023 EM
14 -0.96524488D+03 0.0009772 0.0000010 EM
15 -0.96524444D+03 0.0004388 0.0000005 EM
16 -0.96524425D+03 0.0001975 0.0000002 EM
17 -0.96524416D+03 0.0000890 0.0000001 EM
18 -0.96524412D+03 0.0000401 0.0000000 EM
19 -0.96524410D+03 0.0000181 0.0000000 EM
20 -0.96524409D+03 0.0000082 0.0000000 EM
21 -0.96524409D+03 0.0000037 0.0000000 EM
22 -0.96524409D+03 0.0000017 0.0000000 EM
23 -0.96524409D+03 0.0000008 0.0000000 EM
24 -0.96524408D+03 0.0000003 0.0000000 EM
25 -0.96524408D+03 0.0000002 0.0000000 EM
26 -0.96524408D+03 0.0000001 0.0000000 EM
27 -0.96524408D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
5 -0.96551949D+03 0.4163233 0.0004310 EM
6 -0.96535997D+03 0.1595151 0.0001652 EM
7 -0.96529424D+03 0.0657366 0.0000681 EM
8 -0.96526614D+03 0.0281004 0.0000291 EM
9 -0.96525388D+03 0.0122619 0.0000127 EM
10 -0.96524846D+03 0.0054174 0.0000056 EM
11 -0.96524605D+03 0.0024121 0.0000025 EM
12 -0.96524497D+03 0.0010794 0.0000011 EM
13 -0.96524448D+03 0.0004846 0.0000005 EM
14 -0.96524426D+03 0.0002180 0.0000002 EM
15 -0.96524417D+03 0.0000982 0.0000001 EM
16 -0.96524412D+03 0.0000443 0.0000000 EM
17 -0.96524410D+03 0.0000200 0.0000000 EM
18 -0.96524409D+03 0.0000090 0.0000000 EM
19 -0.96524409D+03 0.0000041 0.0000000 EM
20 -0.96524409D+03 0.0000018 0.0000000 EM
21 -0.96524409D+03 0.0000008 0.0000000 EM
22 -0.96524408D+03 0.0000004 0.0000000 EM
23 -0.96524408D+03 0.0000002 0.0000000 EM
24 -0.96524408D+03 0.0000001 0.0000000 EM
25 -0.96524408D+03 0.0000000 0.0000000 EM
26 -0.96524408D+03 0.0000000 0.0000000 EM
Beginning Time: 23:13:22
Ending Time: 23:13:22
Elapsed Time: 00:00:00
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