Mplus VERSION 8.3 MUTHEN & MUTHEN 05/24/2024 5:05 PM INPUT INSTRUCTIONS title: test; data: file is ./p1_mi/p1_list.txt; type = imputation; vari: names are m1-m3 y x; model: !measurement model m by m1-m3; !structural model y on x m(c b); m on x(a); model constraint: new(med); med = a * b; output: samp stand; INPUT READING TERMINATED NORMALLY test; SUMMARY OF ANALYSIS Number of groups 1 Average number of observations 175 Number of replications Requested 50 Completed 50 Number of dependent variables 4 Number of independent variables 1 Number of continuous latent variables 1 Observed dependent variables Continuous M1 M2 M3 Y Observed independent variables X Continuous latent variables M 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) Multiple data files from ./p1_mi/p1_list.txt Input data format FREE SAMPLE STATISTICS NOTE: These are average results over 50 data sets. SAMPLE STATISTICS Means M1 M2 M3 Y X ________ ________ ________ ________ ________ -0.003 0.008 0.002 0.021 0.000 Covariances M1 M2 M3 Y X ________ ________ ________ ________ ________ M1 0.992 M2 0.408 1.003 M3 0.227 0.153 0.998 Y 0.191 0.152 0.326 1.075 X 0.053 0.058 0.194 0.180 0.994 Correlations M1 M2 M3 Y X ________ ________ ________ ________ ________ M1 1.000 M2 0.409 1.000 M3 0.228 0.153 1.000 Y 0.185 0.146 0.315 1.000 X 0.054 0.058 0.194 0.174 1.000 MODEL FIT INFORMATION Number of Free Parameters 14 Loglikelihood H0 Value -962.461 H1 Value -954.321 * The loglikelihood cannot be used directly for chi-square testing with imputed data. Information Criteria Akaike (AIC) 1952.922 Bayesian (BIC) 1997.229 Sample-Size Adjusted BIC 1952.896 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 23.756 Degrees of Freedom 4 P-Value 0.0001 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.168 90 Percent C.I. 0.107 0.236 Probability RMSEA <= .05 0.001 CFI/TLI CFI 0.003 TLI -1.493 Chi-Square Test of Model Fit for the Baseline Model Value 29.812 Degrees of Freedom 10 P-Value 0.0009 SRMR (Standardized Root Mean Square Residual) Value 0.049 MODEL RESULTS Two-Tailed Rate of Estimate S.E. Est./S.E. P-Value Missing M BY M1 1.000 0.000 999.000 999.000 0.000 M2 0.832 0.292 2.850 0.004 0.274 M3 0.836 0.635 1.317 0.188 0.703 M ON X 0.093 0.068 1.359 0.174 0.155 Y ON M 0.787 0.733 1.074 0.283 0.752 Y ON X 0.105 0.233 0.451 0.652 0.880 Intercepts M1 -0.003 0.076 -0.040 0.968 0.019 M2 0.008 0.077 0.103 0.918 0.035 M3 0.002 0.077 0.027 0.978 0.056 Y 0.021 0.117 0.183 0.855 0.589 Residual Variances M1 0.602 0.231 2.602 0.009 0.546 M2 0.744 0.159 4.687 0.000 0.448 M3 0.785 0.179 4.382 0.000 0.599 Y 0.803 0.178 4.511 0.000 0.586 M 0.381 0.239 1.596 0.111 0.534 New/Additional Parameters MED 0.076 0.088 0.870 0.384 0.587 STANDARDIZED MODEL RESULTS STDYX Standardization Two-Tailed Rate of Estimate S.E. Est./S.E. P-Value Missing M BY M1 0.611 0.185 3.296 0.001 0.619 M2 0.496 0.152 3.258 0.001 0.561 M3 0.440 0.173 2.535 0.011 0.673 M ON X 0.165 0.126 1.310 0.190 0.339 Y ON M 0.382 0.214 1.780 0.075 0.789 Y ON X 0.097 0.213 0.453 0.650 0.872 Intercepts M1 -0.003 0.076 -0.040 0.968 0.018 M2 0.008 0.077 0.103 0.918 0.034 M3 0.002 0.077 0.027 0.979 0.055 Y 0.022 0.114 0.192 0.848 0.592 Residual Variances M1 0.607 0.229 2.645 0.008 0.567 M2 0.742 0.145 5.102 0.000 0.513 M3 0.788 0.168 4.701 0.000 0.714 Y 0.763 0.172 4.445 0.000 0.774 M 0.968 0.047 20.682 0.000 0.344 STDY Standardization Two-Tailed Rate of Estimate S.E. Est./S.E. P-Value Missing M BY M1 0.611 0.185 3.296 0.001 0.619 M2 0.496 0.152 3.258 0.001 0.561 M3 0.440 0.173 2.535 0.011 0.673 M ON X 0.166 0.126 1.314 0.189 0.341 Y ON M 0.382 0.214 1.780 0.075 0.789 Y ON X 0.097 0.214 0.454 0.650 0.874 Intercepts M1 -0.003 0.076 -0.040 0.968 0.018 M2 0.008 0.077 0.103 0.918 0.034 M3 0.002 0.077 0.027 0.979 0.055 Y 0.022 0.114 0.192 0.848 0.592 Residual Variances M1 0.607 0.229 2.645 0.008 0.567 M2 0.742 0.145 5.102 0.000 0.513 M3 0.788 0.168 4.701 0.000 0.714 Y 0.763 0.172 4.445 0.000 0.774 M 0.968 0.047 20.682 0.000 0.344 STD Standardization Two-Tailed Rate of Estimate S.E. Est./S.E. P-Value Missing M BY M1 0.608 0.191 3.180 0.001 0.582 M2 0.497 0.159 3.133 0.002 0.523 M3 0.440 0.179 2.458 0.014 0.647 M ON X 0.166 0.126 1.314 0.189 0.341 Y ON M 0.401 0.241 1.666 0.096 0.797 Y ON X 0.105 0.233 0.451 0.652 0.880 Intercepts M1 -0.003 0.076 -0.040 0.968 0.019 M2 0.008 0.077 0.103 0.918 0.035 M3 0.002 0.077 0.027 0.978 0.056 Y 0.021 0.117 0.183 0.855 0.589 Residual Variances M1 0.602 0.231 2.602 0.009 0.546 M2 0.744 0.159 4.687 0.000 0.448 M3 0.785 0.179 4.382 0.000 0.599 Y 0.803 0.178 4.511 0.000 0.586 M 0.968 0.047 20.682 0.000 0.344 R-SQUARE Observed Two-Tailed Rate of Variable Estimate S.E. Est./S.E. P-Value Missing M1 0.393 0.229 1.713 0.087 0.567 M2 0.258 0.145 1.778 0.075 0.513 M3 0.212 0.168 1.268 0.205 0.714 Y 0.237 0.172 1.377 0.168 0.774 Latent Two-Tailed Rate of Variable Estimate S.E. Est./S.E. P-Value Missing M 0.032 0.047 0.694 0.488 0.344 QUALITY OF NUMERICAL RESULTS Average Condition Number for the Information Matrix 0.340E-02 (ratio of smallest to largest eigenvalue) TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION NU M1 M2 M3 Y X ________ ________ ________ ________ ________ 1 2 3 0 0 LAMBDA M Y X ________ ________ ________ M1 0 0 0 M2 4 0 0 M3 5 0 0 Y 0 0 0 X 0 0 0 THETA M1 M2 M3 Y X ________ ________ ________ ________ ________ M1 6 M2 0 7 M3 0 0 8 Y 0 0 0 0 X 0 0 0 0 0 ALPHA M Y X ________ ________ ________ 0 9 0 BETA M Y X ________ ________ ________ M 0 0 10 Y 11 0 12 X 0 0 0 PSI M Y X ________ ________ ________ M 13 Y 0 14 X 0 0 0 PARAMETER SPECIFICATION FOR THE ADDITIONAL PARAMETERS New/Additional Parameters MED ________ 15 STARTING VALUES NU M1 M2 M3 Y X ________ ________ ________ ________ ________ -0.010 0.015 0.008 0.000 0.000 LAMBDA M Y X ________ ________ ________ M1 1.000 0.000 0.000 M2 0.651 0.000 0.000 M3 0.362 0.000 0.000 Y 0.000 1.000 0.000 X 0.000 0.000 1.000 THETA M1 M2 M3 Y X ________ ________ ________ ________ ________ M1 0.490 M2 0.000 0.508 M3 0.000 0.000 0.506 Y 0.000 0.000 0.000 0.000 X 0.000 0.000 0.000 0.000 0.000 ALPHA M Y X ________ ________ ________ 0.000 0.043 0.000 BETA M Y X ________ ________ ________ M 0.000 0.000 0.000 Y 0.278 0.000 0.000 X 0.000 0.000 0.000 PSI M Y X ________ ________ ________ M 0.050 Y 0.000 0.623 X 0.000 0.000 0.994 STARTING VALUES FOR THE ADDITIONAL PARAMETERS New/Additional Parameters MED ________ 0.500 DIAGRAM INFORMATION Use View Diagram under the Diagram menu in the Mplus Editor to view the diagram. If running Mplus from the Mplus Diagrammer, the diagram opens automatically. Diagram output c:\users\linc\onedrive - the education university of hong kong\distraction\05.24\mplus_model\execution\p1\test.dgm Beginning Time: 17:05:16 Ending Time: 17:05:16 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) 1998-2019 Muthen & Muthen