DATE: 8/ 8/2001 TIME: 13:15 L I S R E L 8.30 BY Karl G. J”reskog & Dag S”rbom This program is published exclusively by Scientific Software International, Inc. 7383 N. Lincoln Avenue, Suite 100 Lincolnwood, IL 60712, U.S.A. Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140 Copyright by Scientific Software International, Inc., 1981-2000 Use of this program is subject to the terms specified in the Universal Copyright Convention. Website: www.ssicentral.com The following lines were read from file E:\ANTI\ANTI01~1.LS8: TI Linear Uncondtional LTM for Antisocial Behavior DA NI=11 NO=221 NG=1 MA=CM LA anti1 anti2 anti3 anti4 read1 read2 read3 read4 gen homecog subjid RA FI=e:\anti\antiread.dat SE 1 2 3 4/ MO NY=4 NE=2 LY=FU,FI PS=SY,FI TE=SY,FI TY=FI AL=FI LE int slp FR AL(1) AL(2) VA 1.0 LY(1,1) LY(2,1) LY(3,1) LY(4,1) VA 1.0 LY(2,2) VA 2.0 LY(3,2) VA 3.0 LY(4,2) FR PS(1,1) PS(2,2) PS(2,1) FR TE(1,1) TE(2,2) TE(3,3) TE(4,4) EQ TE(1,1) TE(2,2) TE(3,3) TE(4,4) OU ME=ML IT=250 TI Linear Uncondtional LTM for Antisocial Behavior Number of Input Variables 11 Number of Y - Variables 4 Number of X - Variables 0 Number of ETA - Variables 2 Number of KSI - Variables 0 Number of Observations 221 TI Linear Uncondtional LTM for Antisocial Behavior Covariance Matrix to be Analyzed anti1 anti2 anti3 anti4 -------- -------- -------- -------- anti1 2.37 anti2 1.16 3.21 anti3 1.22 1.63 3.24 anti4 1.35 2.00 2.24 4.35 Means anti1 anti2 anti3 anti4 -------- -------- -------- -------- 1.49 1.84 1.88 2.07 TI Linear Uncondtional LTM for Antisocial Behavior Parameter Specifications PSI int slp -------- -------- int 1 slp 2 3 THETA-EPS anti1 anti2 anti3 anti4 -------- -------- -------- -------- 4 4 4 4 ALPHA int slp -------- -------- 5 6 TI Linear Uncondtional LTM for Antisocial Behavior Number of Iterations = 1 LISREL Estimates (Maximum Likelihood) LAMBDA-Y int slp -------- -------- anti1 1.00 - - anti2 1.00 1.00 anti3 1.00 2.00 anti4 1.00 3.00 Covariance Matrix of ETA int slp -------- -------- int 0.97 slp 0.15 0.10 Mean Vector of Eta-Variables int slp -------- -------- 1.55 0.18 PSI int slp -------- -------- int 0.97 (0.21) 4.66 slp 0.15 0.10 (0.07) (0.04) 2.10 2.21 THETA-EPS anti1 anti2 anti3 anti4 -------- -------- -------- -------- 1.54 1.54 1.54 1.54 (0.10) (0.10) (0.10) (0.10) 14.83 14.83 14.83 14.83 Squared Multiple Correlations for Y - Variables anti1 anti2 anti3 anti4 -------- -------- -------- -------- 0.39 0.47 0.56 0.64 ALPHA int slp -------- -------- 1.55 0.18 (0.10) (0.04) 16.13 4.12 Goodness of Fit Statistics Degrees of Freedom = 8 Minimum Fit Function Chi-Square = 5.55 (P = 0.70) Normal Theory Weighted Least Squares Chi-Square = 5.73 (P = 0.68) Estimated Non-centrality Parameter (NCP) = 0.0 90 Percent Confidence Interval for NCP = (0.0 ; 6.86) Minimum Fit Function Value = 0.025 Population Discrepancy Function Value (F0) = 0.0 90 Percent Confidence Interval for F0 = (0.0 ; 0.031) Root Mean Square Error of Approximation (RMSEA) = 0.0 90 Percent Confidence Interval for RMSEA = (0.0 ; 0.062) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.90 Expected Cross-Validation Index (ECVI) = 0.073 90 Percent Confidence Interval for ECVI = (0.073 ; 0.10) ECVI for Saturated Model = 0.091 ECVI for Independence Model = 1.20 Chi-Square for Independence Model with 6 Degrees of Freedom = 255.51 Independence AIC = 263.51 Model AIC = 17.73 Saturated AIC = 20.00 Independence CAIC = 281.10 Model CAIC = 44.12 Saturated CAIC = 63.98 Normed Fit Index (NFI) = 0.98 Non-Normed Fit Index (NNFI) = 1.01 Parsimony Normed Fit Index (PNFI) = 1.30 Comparative Fit Index (CFI) = 1.00 Incremental Fit Index (IFI) = 1.01 Relative Fit Index (RFI) = 0.98 Critical N (CN) = 797.59 Root Mean Square Residual (RMR) = 0.15 Standardized RMR = 0.048 Goodness of Fit Index (GFI) = 0.99 Adjusted Goodness of Fit Index (AGFI) = 0.99 Parsimony Goodness of Fit Index (PGFI) = 0.79 The Problem used 3624 Bytes (= 0.0% of Available Workspace) Time used: 0.199 Seconds