Mplus VERSION 5.1 MUTHEN & MUTHEN 05/01/2008 5:07 PM INPUT INSTRUCTIONS TITLE: this is an example of a SEM with EFA and CFA factors with continuous factor indicators DATA: FILE IS example2.dat; VARIABLE: NAMES ARE y1-y12; MODEL: f1-f2 BY y1-y6 (*1); f3 BY y7-y9; f4 BY y10-y12; f3 ON f1-f2; f4 ON f3; INPUT READING TERMINATED NORMALLY this is an example of a SEM with EFA and CFA factors with continuous factor indicators SUMMARY OF ANALYSIS Number of groups 1 Number of observations 500 Number of dependent variables 12 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Continuous latent variables F3 F4 EFA factors *1: F1 F2 Estimator ML Rotation GEOMIN Row standardization CORRELATION Type of rotation OBLIQUE Epsilon value Varies Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Optimization Specifications for the Exploratory Factor Analysis Rotation Algorithm Number of random starts 30 Maximum number of iterations 10000 Derivative convergence criterion 0.100D-04 Input data file(s) example2.dat Input data format FREE THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Chi-Square Test of Model Fit Value 51.353 Degrees of Freedom 46 P-Value 0.2720 Chi-Square Test of Model Fit for the Baseline Model Value 4600.240 Degrees of Freedom 66 P-Value 0.0000 CFI/TLI CFI 0.999 TLI 0.998 Loglikelihood H0 Value -6482.762 H1 Value -6457.085 Information Criteria Number of Free Parameters 44 Akaike (AIC) 13053.524 Bayesian (BIC) 13238.966 Sample-Size Adjusted BIC 13099.308 (n* = (n + 2) / 24) RMSEA (Root Mean Square Error Of Approximation) Estimate 0.015 90 Percent C.I. 0.000 0.034 Probability RMSEA <= .05 1.000 SRMR (Standardized Root Mean Square Residual) Value 0.018 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value F1 BY Y1 0.751 0.048 15.608 0.000 Y2 0.858 0.042 20.467 0.000 Y3 0.736 0.045 16.353 0.000 Y4 0.036 0.051 0.711 0.477 Y5 -0.028 0.049 -0.568 0.570 Y6 0.002 0.004 0.627 0.530 F2 BY Y1 0.034 0.045 0.755 0.450 Y2 -0.002 0.016 -0.150 0.881 Y3 -0.008 0.035 -0.220 0.826 Y4 0.763 0.050 15.367 0.000 Y5 0.810 0.048 16.837 0.000 Y6 0.802 0.041 19.461 0.000 F3 BY Y7 1.000 0.000 999.000 999.000 Y8 0.894 0.021 41.937 0.000 Y9 0.902 0.021 42.479 0.000 F4 BY Y10 1.000 0.000 999.000 999.000 Y11 0.734 0.028 26.424 0.000 Y12 0.684 0.028 24.405 0.000 F3 ON F1 0.493 0.058 8.461 0.000 F2 0.721 0.057 12.752 0.000 F4 ON F3 0.546 0.032 16.975 0.000 F2 WITH F1 0.479 0.053 9.094 0.000 Intercepts Y1 0.008 0.044 0.183 0.855 Y2 0.031 0.045 0.688 0.491 Y3 0.006 0.043 0.146 0.884 Y4 0.075 0.045 1.659 0.097 Y5 0.070 0.044 1.592 0.111 Y6 0.070 0.046 1.530 0.126 Y7 0.059 0.060 0.983 0.326 Y8 0.061 0.055 1.115 0.265 Y9 0.069 0.055 1.253 0.210 Y10 0.009 0.051 0.170 0.865 Y11 0.024 0.039 0.616 0.538 Y12 0.021 0.038 0.554 0.580 Variances F1 1.000 0.000 999.000 999.000 F2 1.000 0.000 999.000 999.000 Residual Variances Y1 0.376 0.034 11.064 0.000 Y2 0.290 0.035 8.239 0.000 Y3 0.406 0.034 11.817 0.000 Y4 0.408 0.035 11.742 0.000 Y5 0.329 0.033 10.046 0.000 Y6 0.393 0.035 11.073 0.000 Y7 0.183 0.019 9.796 0.000 Y8 0.191 0.017 11.269 0.000 Y9 0.181 0.017 10.812 0.000 Y10 0.240 0.027 8.746 0.000 Y11 0.183 0.017 10.791 0.000 Y12 0.213 0.018 11.998 0.000 F3 0.527 0.049 10.644 0.000 F4 0.565 0.049 11.488 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.128E-01 (ratio of smallest to largest eigenvalue) Beginning Time: 17:07:46 Ending Time: 17:07:46 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) 1998-2008 Muthen & Muthen