Mplus VERSION 5 MUTHEN & MUTHEN 09/18/2008 7:10 PM INPUT INSTRUCTIONS title: Positive emotions -> Heuristic processing data: file is hp.dat; variable: names are sid pe1 pe2 pe3 ne1 ne2 ne3 hp1 hp2 hp3; usevariables pe1-pe3 hp1-hp3; classes = class(2); analysis: type = mixture; estimator = mlr; starts = 500 10; model: %overall% PE by pe1@1 pe2* pe3*; [pe1@0]; PE; HP by hp1@1 hp2* hp3*; [hp1@0]; HP; %class#1% [PE*]; [HP*]; HP on PE; %class#2% [PE*]; [HP*]; HP on PE; INPUT READING TERMINATED NORMALLY Positive emotions -> Heuristic processing SUMMARY OF ANALYSIS Number of groups 1 Number of observations 507 Number of dependent variables 6 Number of independent variables 0 Number of continuous latent variables 2 Number of categorical latent variables 1 Observed dependent variables Continuous PE1 PE2 PE3 HP1 HP2 HP3 Continuous latent variables PE HP Categorical latent variables CLASS Estimator MLR Information matrix OBSERVED Optimization Specifications for the Quasi-Newton Algorithm for Continuous Outcomes Maximum number of iterations 1000 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 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Random Starts Specifications Number of initial stage random starts 500 Number of final stage optimizations 10 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 Input data file(s) hp.dat Input data format FREE SUMMARY OF DATA Number of missing data patterns 1 Number of y missing data patterns 1 Number of u missing data patterns 0 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT FOR Y Covariance Coverage PE1 PE2 PE3 HP1 HP2 ________ ________ ________ ________ ________ PE1 1.000 PE2 1.000 1.000 PE3 1.000 1.000 1.000 HP1 1.000 1.000 1.000 1.000 HP2 1.000 1.000 1.000 1.000 1.000 HP3 1.000 1.000 1.000 1.000 1.000 Covariance Coverage HP3 ________ HP3 1.000 RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES 257 perturbed starting value run(s) did not converge in the initial stage optimizations. Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers: -870.189 860772 174 -870.189 602797 336 -870.189 120506 45 -870.189 728038 177 -870.189 153942 31 -870.189 821011 161 -870.189 496881 192 -870.189 137377 397 -870.189 679832 302 -873.666 801065 393 THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Loglikelihood H0 Value -870.189 H0 Scaling Correction Factor 0.981 for MLR Information Criteria Number of Free Parameters 23 Akaike (AIC) 1786.379 Bayesian (BIC) 1883.635 Sample-Size Adjusted BIC 1810.630 (n* = (n + 2) / 24) FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THE ESTIMATED MODEL Latent Classes 1 305.37788 0.60232 2 201.62212 0.39768 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Classes 1 305.37788 0.60232 2 201.62212 0.39768 CLASSIFICATION QUALITY Entropy 0.559 CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP Class Counts and Proportions Latent Classes 1 308 0.60750 2 199 0.39250 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 1 0.883 0.117 2 0.168 0.832 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Latent Class 1 PE BY PE1 1.000 0.000 999.000 999.000 PE2 1.098 0.032 34.418 0.000 PE3 1.116 0.033 34.081 0.000 HP BY HP1 1.000 0.000 999.000 999.000 HP2 1.013 0.063 16.066 0.000 HP3 0.846 0.053 15.949 0.000 HP ON PE 0.152 0.032 4.715 0.000 Means PE 3.529 0.065 54.459 0.000 Intercepts PE1 0.000 0.000 999.000 999.000 PE2 0.073 0.102 0.715 0.475 PE3 -0.086 0.102 -0.850 0.395 HP1 0.000 0.000 999.000 999.000 HP2 0.065 0.035 1.853 0.064 HP3 0.039 0.028 1.403 0.161 HP 0.020 0.121 0.167 0.868 Variances PE 0.265 0.032 8.271 0.000 Residual Variances PE1 0.134 0.013 9.973 0.000 PE2 0.136 0.015 9.002 0.000 PE3 0.147 0.018 8.350 0.000 HP1 0.019 0.002 9.484 0.000 HP2 0.018 0.002 9.452 0.000 HP3 0.019 0.002 11.936 0.000 HP 0.023 0.002 10.230 0.000 Latent Class 2 PE BY PE1 1.000 0.000 999.000 999.000 PE2 1.098 0.032 34.418 0.000 PE3 1.116 0.033 34.081 0.000 HP BY HP1 1.000 0.000 999.000 999.000 HP2 1.013 0.063 16.066 0.000 HP3 0.846 0.053 15.949 0.000 HP ON PE 0.053 0.045 1.179 0.239 Means PE 2.317 0.073 31.805 0.000 Intercepts PE1 0.000 0.000 999.000 999.000 PE2 0.073 0.102 0.715 0.475 PE3 -0.086 0.102 -0.850 0.395 HP1 0.000 0.000 999.000 999.000 HP2 0.065 0.035 1.853 0.064 HP3 0.039 0.028 1.403 0.161 HP 0.336 0.097 3.459 0.001 Variances PE 0.265 0.032 8.271 0.000 Residual Variances PE1 0.134 0.013 9.973 0.000 PE2 0.136 0.015 9.002 0.000 PE3 0.147 0.018 8.350 0.000 HP1 0.019 0.002 9.484 0.000 HP2 0.018 0.002 9.452 0.000 HP3 0.019 0.002 11.936 0.000 HP 0.023 0.002 10.230 0.000 Categorical Latent Variables Means CLASS#1 0.415 0.197 2.105 0.035 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.496E-04 (ratio of smallest to largest eigenvalue) Beginning Time: 19:10:51 Ending Time: 19:12:53 Elapsed Time: 00:02:02 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) 1998-2007 Muthen & Muthen