Mplus VERSION 7.4 MUTHEN & MUTHEN 06/12/2017 1:26 PM INPUT INSTRUCTIONS TITLE: this is an example of two-level path analysis with continuous DV DATA: FILE IS ex9.5.dat; VARIABLE: NAMES = Y M V1 V2 X CLUS; USEVAR = X M Y; BETWEEN = X; CLUSTER = CLUS; ANALYSIS: TYPE = TWOLEVEL; Estimator = ML; MODEL: %BETWEEN% Y ON X M; M ON X; X; [X]; %WITHIN% Y ON M; OUTPUT: TECH1 TECH8; *** WARNING in MODEL command In the MODEL command, the following variable is a y-variable on the BETWEEN level and an x-variable on the WITHIN level. This variable will be treated as a y-variable on both levels: M 1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS this is an example of two-level path analysis with continuous DV SUMMARY OF ANALYSIS Number of groups 1 Number of observations 500 Number of dependent variables 2 Number of independent variables 1 Number of continuous latent variables 0 Observed dependent variables Continuous M Y Observed independent variables X Variables with special functions Cluster variable CLUS Between variables X Estimator ML Information matrix OBSERVED Maximum number of iterations 100 Convergence criterion 0.100D-05 Maximum number of EM iterations 500 Convergence criteria for the EM algorithm Loglikelihood change 0.100D-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-03 Minimum variance 0.100D-03 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) ex9.5.dat Input data format FREE SUMMARY OF DATA Number of clusters 90 Average cluster size 5.556 Estimated Intraclass Correlations for the Y Variables Intraclass Intraclass Variable Correlation Variable Correlation M 0.460 Y 0.479 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 12 Loglikelihood H0 Value -2151.579 H1 Value -2151.579 Information Criteria Akaike (AIC) 4327.159 Bayesian (BIC) 4377.734 Sample-Size Adjusted BIC 4339.645 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 0.000 Degrees of Freedom 0 P-Value 1.0000 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 CFI/TLI CFI 1.000 TLI 1.000 Chi-Square Test of Model Fit for the Baseline Model Value 274.720 Degrees of Freedom 4 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value for Within 0.000 Value for Between 0.000 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Within Level Y ON M 0.336 0.026 13.111 0.000 Variances M 5.391 0.376 14.352 0.000 Residual Variances Y 1.452 0.101 14.332 0.000 Between Level Y ON X 0.829 0.163 5.101 0.000 M 0.251 0.074 3.400 0.001 M ON X 1.595 0.227 7.034 0.000 Means X -0.130 0.095 -1.372 0.170 Intercepts M 0.709 0.206 3.443 0.001 Y -0.196 0.112 -1.753 0.080 Variances X 0.810 0.121 6.708 0.000 Residual Variances M 2.535 0.564 4.495 0.000 Y 0.507 0.125 4.067 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.349E-03 (ratio of smallest to largest eigenvalue) TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION FOR WITHIN NU X M Y ________ ________ ________ 1 0 0 0 LAMBDA X M Y ________ ________ ________ X 0 0 0 M 0 0 0 Y 0 0 0 THETA X M Y ________ ________ ________ X 0 M 0 0 Y 0 0 0 ALPHA X M Y ________ ________ ________ 1 0 0 0 BETA X M Y ________ ________ ________ X 0 0 0 M 0 0 0 Y 0 1 0 PSI X M Y ________ ________ ________ X 0 M 0 2 Y 0 0 3 PARAMETER SPECIFICATION FOR BETWEEN NU X M Y ________ ________ ________ 1 0 0 0 LAMBDA X M Y ________ ________ ________ X 0 0 0 M 0 0 0 Y 0 0 0 THETA X M Y ________ ________ ________ X 0 M 0 0 Y 0 0 0 ALPHA X M Y ________ ________ ________ 1 4 5 6 BETA X M Y ________ ________ ________ X 0 0 0 M 7 0 0 Y 8 9 0 PSI X M Y ________ ________ ________ X 10 M 0 11 Y 0 0 12 STARTING VALUES FOR WITHIN NU X M Y ________ ________ ________ 1 0.000 0.000 0.000 LAMBDA X M Y ________ ________ ________ X 1.000 0.000 0.000 M 0.000 1.000 0.000 Y 0.000 0.000 1.000 THETA X M Y ________ ________ ________ X 0.000 M 0.000 0.000 Y 0.000 0.000 0.000 ALPHA X M Y ________ ________ ________ 1 0.000 0.000 0.000 BETA X M Y ________ ________ ________ X 0.000 0.000 0.000 M 0.000 0.000 0.000 Y 0.000 0.000 0.000 PSI X M Y ________ ________ ________ X 0.000 M 0.000 5.189 Y 0.000 0.000 2.042 STARTING VALUES FOR BETWEEN NU X M Y ________ ________ ________ 1 0.000 0.000 0.000 LAMBDA X M Y ________ ________ ________ X 1.000 0.000 0.000 M 0.000 1.000 0.000 Y 0.000 0.000 1.000 THETA X M Y ________ ________ ________ X 0.000 M 0.000 0.000 Y 0.000 0.000 0.000 ALPHA X M Y ________ ________ ________ 1 0.000 0.632 -0.132 BETA X M Y ________ ________ ________ X 0.000 0.000 0.000 M 0.000 0.000 0.000 Y 0.000 0.000 0.000 PSI X M Y ________ ________ ________ X 0.402 M 0.000 5.189 Y 0.000 0.000 2.042 TECHNICAL 8 OUTPUT E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM 1 -0.23056152D+04 0.0000000 0.0000000 EM 2 -0.21613255D+04 144.2896555 0.0625818 EM 3 -0.21531050D+04 8.2204926 0.0038034 EM 4 -0.21520092D+04 1.0957908 0.0005089 EM 5 -0.21517251D+04 0.2841217 0.0001320 EM 6 -0.21516325D+04 0.0926026 0.0000430 EM 7 -0.21515996D+04 0.0329460 0.0000153 EM 8 -0.21515873D+04 0.0122892 0.0000057 EM 9 -0.21515825D+04 0.0047238 0.0000022 EM 10 -0.21515807D+04 0.0018515 0.0000009 EM 11 -0.21515800D+04 0.0007356 0.0000003 EM 12 -0.21515797D+04 0.0002954 0.0000001 EM 13 -0.21515795D+04 0.0001192 0.0000001 EM 14 -0.21515795D+04 0.0000483 0.0000000 EM 15 -0.21515795D+04 0.0000197 0.0000000 EM TECHNICAL 8 OUTPUT FOR THE H1 MODEL E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM 1 -0.22388666D+04 0.0000000 0.0000000 EM 2 -0.21544158D+04 84.4508226 0.0377203 EM 3 -0.21519470D+04 2.4687416 0.0011459 EM 4 -0.21516887D+04 0.2583550 0.0001201 EM 5 -0.21516169D+04 0.0718086 0.0000334 EM 6 -0.21515928D+04 0.0240624 0.0000112 EM 7 -0.21515843D+04 0.0084636 0.0000039 EM 8 -0.21515813D+04 0.0030650 0.0000014 EM 9 -0.21515801D+04 0.0011346 0.0000005 EM 10 -0.21515797D+04 0.0004275 0.0000002 EM 11 -0.21515796D+04 0.0001635 0.0000001 EM 12 -0.21515795D+04 0.0000633 0.0000000 EM TECHNICAL 8 OUTPUT FOR THE BASELINE MODEL E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM 1 -0.22889528D+04 0.0000000 0.0000000 EM 2 -0.22889412D+04 0.0116421 0.0000051 EM 3 -0.22889398D+04 0.0013617 0.0000006 EM 4 -0.22889397D+04 0.0001689 0.0000001 EM 5 -0.22889396D+04 0.0000213 0.0000000 EM DIAGRAM INFORMATION Mplus diagrams are currently not available for multilevel analysis. No diagram output was produced. Beginning Time: 13:26:34 Ending Time: 13:26:34 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) 1998-2015 Muthen & Muthen