Mplus VERSION 8.7 (Mac) MUTHEN & MUTHEN 10/21/2021 10:47 PM INPUT INSTRUCTIONS TITLE: this is an example of a CFA with continuous factor indicators DATA: FILE IS ex5.1.dat; VARIABLE: NAMES ARE y1-y6; MODEL: f1 BY y1-y3; f2 BY y4-y6; INPUT READING TERMINATED NORMALLY this is an example of a CFA with continuous factor indicators SUMMARY OF ANALYSIS Number of groups 1 Number of observations 500 Number of dependent variables 6 Number of independent variables 0 Number of continuous latent variables 2 Observed dependent variables Continuous Y1 Y2 Y3 Y4 Y5 Y6 Continuous latent variables F1 F2 Estimator ML Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Input data file(s) ex5.1.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 -0.022 -0.050 -3.958 0.20% -1.236 -0.395 -0.039 500.000 1.971 -0.363 3.588 0.20% 0.328 1.240 Y2 0.026 -0.139 -5.193 0.20% -1.096 -0.321 0.044 500.000 1.949 0.107 3.703 0.20% 0.385 1.211 Y3 0.035 0.169 -3.907 0.20% -1.138 -0.398 -0.060 500.000 1.953 -0.135 4.159 0.20% 0.303 1.173 Y4 -0.022 -0.016 -4.546 0.20% -1.111 -0.405 -0.068 500.000 2.050 0.246 4.289 0.20% 0.300 1.125 Y5 -0.016 -0.037 -3.733 0.20% -1.152 -0.374 -0.008 500.000 1.706 -0.095 4.150 0.20% 0.354 1.069 Y6 0.048 0.213 -3.418 0.20% -1.078 -0.375 0.018 500.000 1.679 -0.028 4.107 0.20% 0.273 1.138 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 19 Loglikelihood H0 Value -4906.609 H1 Value -4904.661 Information Criteria Akaike (AIC) 9851.218 Bayesian (BIC) 9931.295 Sample-Size Adjusted BIC 9870.988 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 3.896 Degrees of Freedom 8 P-Value 0.8664 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 90 Percent C.I. 0.000 0.027 Probability RMSEA <= .05 0.995 CFI/TLI CFI 1.000 TLI 1.000 Chi-Square Test of Model Fit for the Baseline Model Value 596.921 Degrees of Freedom 15 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.014 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value F1 BY Y1 1.000 0.000 999.000 999.000 Y2 1.126 0.099 11.368 0.000 Y3 1.019 0.089 11.482 0.000 F2 BY Y4 1.000 0.000 999.000 999.000 Y5 1.059 0.129 8.199 0.000 Y6 0.897 0.105 8.531 0.000 F2 WITH F1 -0.030 0.052 -0.582 0.560 Intercepts Y1 -0.022 0.063 -0.354 0.723 Y2 0.026 0.062 0.410 0.682 Y3 0.035 0.062 0.555 0.579 Y4 -0.022 0.064 -0.350 0.726 Y5 -0.016 0.058 -0.271 0.786 Y6 0.048 0.058 0.824 0.410 Variances F1 0.907 0.125 7.254 0.000 F2 0.760 0.133 5.734 0.000 Residual Variances Y1 1.064 0.096 11.120 0.000 Y2 0.798 0.100 7.972 0.000 Y3 1.010 0.095 10.597 0.000 Y4 1.290 0.119 10.871 0.000 Y5 0.854 0.111 7.710 0.000 Y6 1.066 0.097 11.024 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.409E-01 (ratio of smallest to largest eigenvalue) Beginning Time: 22:47:47 Ending Time: 22:47:47 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) 1998-2021 Muthen & Muthen