Mplus VERSION 2.01 MUTHEN & MUTHEN 08/08/2001 8:53 AM INPUT INSTRUCTIONS title: conditional,linear growth model of antisocial data; data: file=e:\anti\antiread.dat; variable: names=anti1 anti2 anti3 anti4 read1 read2 read3 read4 gen homecog subjid; usevariables=anti1-anti4 gen homecog; analysis: type=meanstructure; model: antint by anti1@1 anti2@1 anti3@1 anti4@1; antslp by anti1@0 anti2@1 anti3@2 anti4@3; [anti1-anti4@0]; [antint antslp]; antint with antslp; anti1-anti4 (1); antint on gen homecog; antslp on gen homecog; output: modindices (0) sampstat tech1; INPUT READING TERMINATED NORMALLY conditional,linear growth model of antisocial data; SUMMARY OF ANALYSIS Number of groups 1 Number of observations 221 Number of y-variables 4 Number of x-variables 2 Number of continuous latent variables 2 Observed variables in the analysis ANTI1 ANTI2 ANTI3 ANTI4 GEN HOMECOG Continuous latent variables in the analysis ANTINT ANTSLP Estimator ML Maximum number of iterations 1000 Convergence criterion 0.500D-04 Mplus VERSION 2.01 PAGE 2 conditional,linear growth model of antisocial data; Input data file(s) e:\anti\antiread.dat Input data format FREE SAMPLE STATISTICS SAMPLE STATISTICS Means ANTI1 ANTI2 ANTI3 ANTI4 GEN ________ ________ ________ ________ ________ 1 1.493 1.837 1.878 2.068 0.525 Means HOMECOG ________ 1 9.100 Covariances ANTI1 ANTI2 ANTI3 ANTI4 GEN ________ ________ ________ ________ ________ ANTI1 2.369 ANTI2 1.158 3.210 ANTI3 1.224 1.630 3.244 ANTI4 1.348 2.002 2.240 4.345 GEN 0.144 0.177 0.155 0.219 0.251 HOMECOG -0.195 -0.966 -0.865 -1.139 -0.007 Covariances HOMECOG ________ HOMECOG 6.026 Correlations ANTI1 ANTI2 ANTI3 ANTI4 GEN ________ ________ ________ ________ ________ ANTI1 1.000 ANTI2 0.420 1.000 ANTI3 0.442 0.505 1.000 ANTI4 0.420 0.536 0.597 1.000 GEN 0.188 0.197 0.172 0.210 1.000 HOMECOG -0.052 -0.220 -0.196 -0.223 -0.006 Correlations HOMECOG ________ HOMECOG 1.000 Mplus VERSION 2.01 PAGE 3 conditional,linear growth model of antisocial data; THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Chi-Square Test of Model Fit Value 8.733 Degrees of Freedom 12 P-Value 0.7256 Chi-Square Test of Model Fit for the Baseline Model Value 288.350 Degrees of Freedom 14 P-Value 0.0000 CFI/TLI CFI 1.000 TLI 1.014 Loglikelihood H0 Value -2300.765 H1 Value -2296.399 Information Criteria Number of Free Parameters 10 Akaike (AIC) 4621.530 Bayesian (BIC) 4655.512 Sample-Size Adjusted BIC 4623.821 (n* = (n + 2) / 24) RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 90 Percent C.I. 0.000 0.051 Probability RMSEA <= .05 0.946 SRMR (Standardized Root Mean Square Residual) Value 0.036 MODEL RESULTS Estimates S.E. Est./S.E. ANTINT BY ANTI1 1.000 0.000 0.000 ANTI2 1.000 0.000 0.000 Mplus VERSION 2.01 PAGE 4 conditional,linear growth model of antisocial data; ANTI3 1.000 0.000 0.000 ANTI4 1.000 0.000 0.000 ANTSLP BY ANTI1 0.000 0.000 0.000 ANTI2 1.000 0.000 0.000 ANTI3 2.000 0.000 0.000 ANTI4 3.000 0.000 0.000 ANTINT ON GEN 0.572 0.187 3.056 HOMECOG -0.063 0.038 -1.641 ANTSLP ON GEN 0.079 0.084 0.943 HOMECOG -0.045 0.017 -2.643 ANTINT WITH ANTSLP 0.122 0.070 1.750 Residual Variances ANTI1 1.529 0.103 14.866 ANTI2 1.529 0.103 14.866 ANTI3 1.529 0.103 14.866 ANTI4 1.529 0.103 14.866 ANTINT 0.859 0.197 4.356 ANTSLP 0.082 0.042 1.949 Intercepts ANTI1 0.000 0.000 0.000 ANTI2 0.000 0.000 0.000 ANTI3 0.000 0.000 0.000 ANTI4 0.000 0.000 0.000 ANTINT 1.824 0.373 4.888 ANTSLP 0.546 0.167 3.265 MODEL MODIFICATION INDICES Minimum M.I. value for printing the modification index 0.000 M.I. E.P.C. Std E.P.C. StdYX E.P.C. BY Statements ANTINT BY ANTI1 2.407 -0.133 -0.131 -0.083 ANTINT BY ANTI2 3.706 0.108 0.106 0.063 ANTINT BY ANTI3 0.645 -0.045 -0.044 -0.024 ANTINT BY ANTI4 0.026 -0.014 -0.014 -0.007 ANTSLP BY ANTI1 2.299 -0.788 -0.245 -0.155 ANTSLP BY ANTI2 4.007 0.681 0.211 0.124 ANTSLP BY ANTI3 1.053 -0.349 -0.108 -0.058 ANTSLP BY ANTI4 0.001 0.013 0.004 0.002 WITH Statements ANTI2 WITH ANTI1 0.000 -0.001 -0.001 0.000 Mplus VERSION 2.01 PAGE 5 conditional,linear growth model of antisocial data; ANTI3 WITH ANTI1 0.510 0.094 0.094 0.032 ANTI3 WITH ANTI2 0.186 -0.056 -0.056 -0.018 ANTI4 WITH ANTI1 0.273 -0.113 -0.113 -0.035 ANTI4 WITH ANTI2 0.044 -0.030 -0.030 -0.008 ANTI4 WITH ANTI3 0.090 0.050 0.050 0.013 Variances/Residual Variances ANTI1 0.644 -0.164 -0.164 -0.066 ANTI2 1.840 0.196 0.196 0.068 ANTI3 0.886 -0.151 -0.151 -0.043 ANTI4 0.088 0.072 0.072 0.017 Means/Intercepts/Thresholds [ ANTI1 ] 1.798 -0.204 -0.204 -0.129 [ ANTI2 ] 2.335 0.152 0.152 0.089 [ ANTI3 ] 0.179 -0.042 -0.042 -0.023 [ ANTI4 ] 0.121 -0.053 -0.053 -0.026 TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION NU ANTI1 ANTI2 ANTI3 ANTI4 GEN ________ ________ ________ ________ ________ 1 0 0 0 0 0 NU HOMECOG ________ 1 0 LAMBDA ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ ANTI1 0 0 0 0 ANTI2 0 0 0 0 ANTI3 0 0 0 0 ANTI4 0 0 0 0 GEN 0 0 0 0 HOMECOG 0 0 0 0 THETA ANTI1 ANTI2 ANTI3 ANTI4 GEN ________ ________ ________ ________ ________ ANTI1 1 ANTI2 0 1 ANTI3 0 0 1 ANTI4 0 0 0 1 Mplus VERSION 2.01 PAGE 6 conditional,linear growth model of antisocial data; GEN 0 0 0 0 0 HOMECOG 0 0 0 0 0 THETA HOMECOG ________ HOMECOG 0 ALPHA ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ 1 2 3 0 0 BETA ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ ANTINT 0 0 4 5 ANTSLP 0 0 6 7 GEN 0 0 0 0 HOMECOG 0 0 0 0 PSI ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ ANTINT 8 ANTSLP 9 10 GEN 0 0 0 HOMECOG 0 0 0 0 STARTING VALUES NU ANTI1 ANTI2 ANTI3 ANTI4 GEN ________ ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 0.000 NU HOMECOG ________ 1 0.000 LAMBDA ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ ANTI1 1.000 0.000 0.000 0.000 ANTI2 1.000 1.000 0.000 0.000 ANTI3 1.000 2.000 0.000 0.000 ANTI4 1.000 3.000 0.000 0.000 GEN 0.000 0.000 1.000 0.000 Mplus VERSION 2.01 PAGE 7 conditional,linear growth model of antisocial data; HOMECOG 0.000 0.000 0.000 1.000 THETA ANTI1 ANTI2 ANTI3 ANTI4 GEN ________ ________ ________ ________ ________ ANTI1 1.185 ANTI2 0.000 1.605 ANTI3 0.000 0.000 1.622 ANTI4 0.000 0.000 0.000 2.173 GEN 0.000 0.000 0.000 0.000 0.000 HOMECOG 0.000 0.000 0.000 0.000 0.000 THETA HOMECOG ________ HOMECOG 0.000 ALPHA ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ 1 0.000 0.000 0.525 9.100 BETA ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ ANTINT 0.000 0.000 0.000 0.000 ANTSLP 0.000 0.000 0.000 0.000 GEN 0.000 0.000 0.000 0.000 HOMECOG 0.000 0.000 0.000 0.000 PSI ANTINT ANTSLP GEN HOMECOG ________ ________ ________ ________ ANTINT 0.050 ANTSLP 0.000 0.050 GEN 0.000 0.000 0.249 HOMECOG 0.000 0.000 -0.007 5.999 Beginning Time: 08:53:32 Ending Time: 08:53:32 Elapsed Time: 00:00:00 MUTHEN & MUTHEN 11965 Venice Blvd., Suite 407 Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: www.StatModel.com Mplus VERSION 2.01 PAGE 8 conditional,linear growth model of antisocial data; Support: Support@StatModel.com Copyright (c) 1998-2001 Muthen & Muthen