Mplus VERSION 6 MUTHEN & MUTHEN 07/01/2010 10:52 AM INPUT INSTRUCTIONS title: M0 model variable: NAMES ARE y1-y5; data: file=1.dat; analysis: estimator=mlr; model: f1 BY y1-y5; y1 with y2; y2 with y3; y4 with y5; y1 with y5; output: residual; INPUT READING TERMINATED NORMALLY M0 model SUMMARY OF ANALYSIS Number of groups 1 Number of observations 50 Number of dependent variables 5 Number of independent variables 0 Number of continuous latent variables 1 Observed dependent variables Continuous Y1 Y2 Y3 Y4 Y5 Continuous latent variables F1 Estimator MLR Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Input data file(s) 1.dat Input data format FREE THE MODEL ESTIMATION TERMINATED NORMALLY THE CHI-SQUARE COULD NOT BE COMPUTED. THE CORRECTION FACTOR IS NEGATIVE. TESTS OF MODEL FIT Loglikelihood H0 Value -249.800 H0 Scaling Correction Factor 1.721 for MLR H1 Value -246.017 Information Criteria Number of Free Parameters 19 Akaike (AIC) 537.600 Bayesian (BIC) 573.928 Sample-Size Adjusted BIC 514.290 (n* = (n + 2) / 24) SRMR (Standardized Root Mean Square Residual) Value 0.066 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value F1 BY Y1 1.000 0.000 999.000 999.000 Y2 0.738 0.450 1.640 0.101 Y3 0.977 0.696 1.405 0.160 Y4 0.971 0.681 1.426 0.154 Y5 0.836 0.355 2.356 0.018 Y1 WITH Y2 -0.050 0.144 -0.349 0.727 Y5 0.034 0.142 0.242 0.809 Y2 WITH Y3 -0.085 0.118 -0.721 0.471 Y4 WITH Y5 -0.031 0.079 -0.392 0.695 Intercepts Y1 0.280 0.094 2.979 0.003 Y2 0.380 0.093 4.071 0.000 Y3 0.400 0.106 3.780 0.000 Y4 0.420 0.110 3.823 0.000 Y5 0.420 0.110 3.823 0.000 Variances F1 0.240 0.198 1.211 0.226 Residual Variances Y1 0.204 0.145 1.403 0.161 Y2 0.305 0.145 2.098 0.036 Y3 0.331 0.171 1.934 0.053 Y4 0.378 0.174 2.167 0.030 Y5 0.436 0.178 2.450 0.014 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.563E-02 (ratio of smallest to largest eigenvalue) RESIDUAL OUTPUT ESTIMATED MODEL AND RESIDUALS (OBSERVED - ESTIMATED) Model Estimated Means/Intercepts/Thresholds Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ 1 0.280 0.380 0.400 0.420 0.420 Residuals for Means/Intercepts/Thresholds Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 Standardized Residuals (z-scores) for Means/Intercepts/Thresholds Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 Normalized Residuals for Means/Intercepts/Thresholds Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 Model Estimated Covariances/Correlations/Residual Correlations Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ Y1 0.443 Y2 0.127 0.436 Y3 0.234 0.088 0.560 Y4 0.233 0.172 0.227 0.604 Y5 0.235 0.148 0.196 0.164 0.604 Residuals for Covariances/Correlations/Residual Correlations Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ Y1 -0.002 Y2 0.007 0.000 Y3 -0.006 0.000 0.000 Y4 0.010 -0.071 0.065 0.000 Y5 -0.013 0.092 -0.084 0.000 0.000 Standardized Residuals (z-scores) for Covariances/Correlations/Residual Corr Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ Y1 999.000 Y2 999.000 0.000 Y3 999.000 0.000 0.000 Y4 999.000 999.000 999.000 0.000 Y5 999.000 999.000 -4.110 0.000 0.000 Normalized Residuals for Covariances/Correlations/Residual Correlations Y1 Y2 Y3 Y4 Y5 ________ ________ ________ ________ ________ Y1 -0.011 Y2 0.072 0.000 Y3 -0.056 0.000 0.000 Y4 0.063 -0.724 0.390 0.000 Y5 -0.086 0.753 -0.831 0.000 0.000 Beginning Time: 10:52:40 Ending Time: 10:52:40 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) 1998-2010 Muthen & Muthen