Mplus VERSION 2.01 MUTHEN & MUTHEN 08/08/2001 8:53 AM INPUT INSTRUCTIONS title: unconditional,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; 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); output: modindices (0) sampstat tech1; INPUT READING TERMINATED NORMALLY unconditional,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 0 Number of continuous latent variables 2 Observed variables in the analysis ANTI1 ANTI2 ANTI3 ANTI4 Continuous latent variables in the analysis ANTINT ANTSLP Estimator ML Maximum number of iterations 1000 Convergence criterion 0.500D-04 Input data file(s) Mplus VERSION 2.01 PAGE 2 unconditional,linear growth model of antisocial data; e:\anti\antiread.dat Input data format FREE SAMPLE STATISTICS SAMPLE STATISTICS Means ANTI1 ANTI2 ANTI3 ANTI4 ________ ________ ________ ________ 1 1.493 1.837 1.878 2.068 Covariances ANTI1 ANTI2 ANTI3 ANTI4 ________ ________ ________ ________ ANTI1 2.369 ANTI2 1.158 3.210 ANTI3 1.224 1.630 3.244 ANTI4 1.348 2.002 2.240 4.345 Correlations ANTI1 ANTI2 ANTI3 ANTI4 ________ ________ ________ ________ ANTI1 1.000 ANTI2 0.420 1.000 ANTI3 0.442 0.505 1.000 ANTI4 0.420 0.536 0.597 1.000 THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Chi-Square Test of Model Fit Value 5.585 Degrees of Freedom 8 P-Value 0.6936 Chi-Square Test of Model Fit for the Baseline Model Value 256.668 Degrees of Freedom 6 P-Value 0.0000 CFI/TLI CFI 1.000 TLI 1.007 Mplus VERSION 2.01 PAGE 3 unconditional,linear growth model of antisocial data; Loglikelihood H0 Value -1643.351 H1 Value -1640.559 Information Criteria Number of Free Parameters 6 Akaike (AIC) 3298.702 Bayesian (BIC) 3319.091 Sample-Size Adjusted BIC 3300.077 (n* = (n + 2) / 24) RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 90 Percent C.I. 0.000 0.061 Probability RMSEA <= .05 0.907 SRMR (Standardized Root Mean Square Residual) Value 0.044 MODEL RESULTS Estimates S.E. Est./S.E. ANTINT BY ANTI1 1.000 0.000 0.000 ANTI2 1.000 0.000 0.000 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 WITH ANTSLP 0.150 0.071 2.110 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 Variances ANTINT 0.964 0.206 4.669 ANTSLP 0.096 0.043 2.217 Means ANTINT 1.554 0.096 16.200 Mplus VERSION 2.01 PAGE 4 unconditional,linear growth model of antisocial data; ANTSLP 0.176 0.043 4.137 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 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 2.529 -0.137 -0.134 -0.085 ANTINT BY ANTI2 3.803 0.110 0.108 0.063 ANTINT BY ANTI3 0.604 -0.044 -0.043 -0.023 ANTINT BY ANTI4 0.041 -0.017 -0.017 -0.008 ANTSLP BY ANTI1 1.508 -0.651 -0.202 -0.128 ANTSLP BY ANTI2 2.973 0.598 0.186 0.109 ANTSLP BY ANTI3 1.074 -0.359 -0.112 -0.060 ANTSLP BY ANTI4 0.032 0.094 0.029 0.014 WITH Statements ANTI2 WITH ANTI1 0.004 -0.010 -0.010 -0.004 ANTI3 WITH ANTI1 0.370 0.080 0.080 0.027 ANTI3 WITH ANTI2 0.126 -0.046 -0.046 -0.015 ANTI4 WITH ANTI1 0.436 -0.145 -0.145 -0.044 ANTI4 WITH ANTI2 0.001 0.004 0.004 0.001 ANTI4 WITH ANTI3 0.051 0.038 0.038 0.010 Variances/Residual Variances ANTI1 0.545 -0.151 -0.151 -0.061 ANTI2 2.075 0.209 0.209 0.072 ANTI3 1.092 -0.171 -0.171 -0.049 ANTI4 0.051 0.056 0.056 0.013 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 Mplus VERSION 2.01 PAGE 5 unconditional,linear growth model of antisocial data; ANTI1 ANTI2 ANTI3 ANTI4 ________ ________ ________ ________ 1 0 0 0 0 LAMBDA ANTINT ANTSLP ________ ________ ANTI1 0 0 ANTI2 0 0 ANTI3 0 0 ANTI4 0 0 THETA ANTI1 ANTI2 ANTI3 ANTI4 ________ ________ ________ ________ ANTI1 1 ANTI2 0 1 ANTI3 0 0 1 ANTI4 0 0 0 1 ALPHA ANTINT ANTSLP ________ ________ 1 2 3 PSI ANTINT ANTSLP ________ ________ ANTINT 4 ANTSLP 5 6 STARTING VALUES NU ANTI1 ANTI2 ANTI3 ANTI4 ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 LAMBDA ANTINT ANTSLP ________ ________ ANTI1 1.000 0.000 ANTI2 1.000 1.000 ANTI3 1.000 2.000 ANTI4 1.000 3.000 THETA ANTI1 ANTI2 ANTI3 ANTI4 ________ ________ ________ ________ Mplus VERSION 2.01 PAGE 6 unconditional,linear growth model of antisocial data; ANTI1 1.185 ANTI2 0.000 1.605 ANTI3 0.000 0.000 1.622 ANTI4 0.000 0.000 0.000 2.173 ALPHA ANTINT ANTSLP ________ ________ 1 0.000 0.000 PSI ANTINT ANTSLP ________ ________ ANTINT 0.050 ANTSLP 0.000 0.050 Beginning Time: 08:53:00 Ending Time: 08:53:01 Elapsed Time: 00:00:01 MUTHEN & MUTHEN 11965 Venice Blvd., Suite 407 Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: www.StatModel.com Support: Support@StatModel.com Copyright (c) 1998-2001 Muthen & Muthen