The following MX script lines were read for group 1 #NGROUPS 1 Note: #NGroup set number of groups to 1 LINEAR CONDITIONAL ANTISOCIAL MODEL DATA NINPUT=11 NOBSERVATIONS=221 RECT FILE=E:\ANTI\ANTIREAD.DAT NOTE: Rectangular file contained 221 records with data LABELS ANTI1 ANTI2 ANTI3 ANTI4 READ1 READ2 READ3 READ4 GEN HOMECOG ID/ SELECT ANTI1 ANTI2 ANTI3 ANTI4 GEN HOMECOG / BEGIN MATRICES; NOTE: Selection yields 221 data vectors for analysis NOTE: Vectors contain a total of 1326 observations S SYMM 8 8 A FULL 8 8 F FULL 6 8 I IDEN 8 8 M FULL 8 1 U UNIT 1 1 END MATRICES; MATRIX S 1.5 0 1.5 0 0 1.5 0 0 0 1.5 0 0 0 0 .25 0 0 0 0 -.01 5 0 0 0 0 0 0 1 0 0 0 0 0 0 .1 .1 SPECIFY S 1 0 1 0 0 1 0 0 0 1 0 0 0 0 2 0 0 0 0 4 3 0 0 0 0 0 0 5 0 0 0 0 0 0 7 6 LABEL ROW S VARY1 VARY2 VARY3 VARY4 VARGEN VARCOG VARINT VARSLP LABEL COL S VARY1 VARY2 VARY3 VARY4 VARGEN VARCOG VARINT VARSLP MATRIX A 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 2 0 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .5 -.1 0 0 0 0 0 0 .1 -.1 0 0 SPECIFY A 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 9 0 0 0 0 0 0 10 11 0 0 LABEL ROW A LAM_Y1 LAM_Y2 LAM_Y3 LAM_Y4 LAM_GEN LAM_COG LAM_INT LAM_SLP LABEL COL A LAM_Y1 LAM_Y2 LAM_Y3 LAM_Y4 LAM_GEN LAM_COG LAM_INT LAM_SLP MATRIX F 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 LABEL ROW F ID_Y1 ID_Y2 ID_Y3 ID_Y4 ID_GEN ID_COG LABEL COL F ID_Y1 ID_Y2 ID_Y3 ID_Y4 ID_GEN ID_COG ID_INT ID_SLP MATRIX M 0 0 0 0 1 10 1 .5 SPECIFY M 0 0 0 0 12 13 14 15 LABEL ROW M M_Y1 M_Y2 M_Y3 M_Y4 M_GEN M_COG M_INT M_SLP LABEL COL M MEANS MEANS F * (I - A)~ * M * U; COVARIANCE F & ((I - A)~ & S); OP ML INTERVAL @95 S 1 1 1 S 1 7 7 S 1 8 8 S 1 8 7 M 7 1 M 8 1 A 1 7 5 A 1 7 6 A 1 8 5 A 1 8 6; END GROUP; Summary of VL file data for group 1 ANTI1 ANTI2 ANTI3 ANTI4 GEN HOMECOG Code 1.0000 2.0000 3.0000 4.0000 5.0000 6.0000 Number 221.0000 221.0000 221.0000 221.0000 221.0000 221.0000 Mean 1.4932 1.8371 1.8778 2.0679 0.5249 9.0995 Variance 2.3586 3.1952 3.2294 4.3257 0.2494 5.9991 Minimum 0.0000 0.0000 0.0000 0.0000 0.0000 3.0000 Maximum 7.0000 9.0000 10.0000 9.0000 1.0000 14.0000 PARAMETER SPECIFICATIONS GROUP NUMBER: 1 LINEAR CONDITIONAL ANTISOCIAL MODEL MATRIX A This is a FULL matrix of order 8 by 8 LAM_Y1 LAM_Y2 LAM_Y3 LAM_Y4 LAM_GEN LAM_COG LAM_INT LAM_SLP LAM_Y1 0 0 0 0 0 0 0 0 LAM_Y2 0 0 0 0 0 0 0 0 LAM_Y3 0 0 0 0 0 0 0 0 LAM_Y4 0 0 0 0 0 0 0 0 LAM_GEN 0 0 0 0 0 0 0 0 LAM_COG 0 0 0 0 0 0 0 0 LAM_INT 0 0 0 0 8 9 0 0 LAM_SLP 0 0 0 0 10 11 0 0 MATRIX F This is a FULL matrix of order 6 by 8 It has no free parameters specified MATRIX I This is an IDENTITY matrix of order 8 by 8 MATRIX M This is a FULL matrix of order 8 by 1 MEANS M_Y1 0 M_Y2 0 M_Y3 0 M_Y4 0 M_GEN 12 M_COG 13 M_INT 14 M_SLP 15 MATRIX S This is a SYMMETRIC matrix of order 8 by 8 VARY1 VARY2 VARY3 VARY4 VARGEN VARCOG VARINT VARSLP VARY1 1 VARY2 0 1 VARY3 0 0 1 VARY4 0 0 0 1 VARGEN 0 0 0 0 2 VARCOG 0 0 0 0 4 3 VARINT 0 0 0 0 0 0 5 VARSLP 0 0 0 0 0 0 7 6 MATRIX U This is a UNIT matrix of order 1 by 1 MX PARAMETER ESTIMATES GROUP NUMBER: 1 LINEAR CONDITIONAL ANTISOCIAL MODEL MATRIX A This is a FULL matrix of order 8 by 8 LAM_Y1 LAM_Y2 LAM_Y3 LAM_Y4 LAM_GEN LAM_COG LAM_Y1 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 LAM_Y2 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 LAM_Y3 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 LAM_Y4 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 LAM_GEN 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 LAM_COG 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 LAM_INT 0.0000 0.0000 0.0000 0.0000 0.5716 -0.0626 LAM_SLP 0.0000 0.0000 0.0000 0.0000 0.0791 -0.0452 LAM_INT LAM_SLP LAM_Y1 1.0000 0.0000 LAM_Y2 1.0000 1.0000 LAM_Y3 1.0000 2.0000 LAM_Y4 1.0000 3.0000 LAM_GEN 0.0000 0.0000 LAM_COG 0.0000 0.0000 LAM_INT 0.0000 0.0000 LAM_SLP 0.0000 0.0000 MATRIX F This is a FULL matrix of order 6 by 8 ID_Y1 ID_Y2 ID_Y3 ID_Y4 ID_GEN ID_COG ID_INT ID_SLP ID_Y1 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 ID_Y2 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 ID_Y3 0.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 ID_Y4 0.0000 0.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 ID_GEN 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 0.0000 0.0000 ID_COG 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.0000 0.0000 MATRIX I This is an IDENTITY matrix of order 8 by 8 MATRIX M This is a FULL matrix of order 8 by 1 MEANS M_Y1 0.0000 M_Y2 0.0000 M_Y3 0.0000 M_Y4 0.0000 M_GEN 0.5249 M_COG 9.0995 M_INT 1.8240 M_SLP 0.5465 MATRIX S This is a SYMMETRIC matrix of order 8 by 8 VARY1 VARY2 VARY3 VARY4 VARGEN VARCOG VARY1 1.5290 VARY2 0.0000 1.5290 VARY3 0.0000 0.0000 1.5290 VARY4 0.0000 0.0000 0.0000 1.5290 VARGEN 0.0000 0.0000 0.0000 0.0000 0.2494 VARCOG 0.0000 0.0000 0.0000 0.0000 -0.0070 5.9991 VARINT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 VARSLP 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 VARINT VARSLP VARY1 VARY2 VARY3 VARY4 VARGEN VARCOG VARINT 0.8586 VARSLP 0.1219 0.0824 MATRIX U This is a UNIT matrix of order 1 by 1 Your model has 15 estimated parameters and 1326 Observed statistics -2 times log-likelihood of data >>> 4601.530 Degrees of freedom >>>>>>>>>>>>>>>> 1311 10 Confidence intervals requested in group 1 Matrix Element Int. Estimate Lower Upper Lfail Ufail S 1 1 1 95.0 1.5290 1.3437 1.7501 0 1 0 1 S 1 7 7 95.0 0.8586 0.5030 1.2899 0 1 0 1 S 1 8 8 95.0 0.0824 0.0042 0.1727 0 1 0 1 S 1 8 7 95.0 0.1219 -0.0245 0.2530 0 1 0 1 M 1 7 1 95.0 1.8240 1.0894 2.5585 0 2 0 2 M 1 8 1 95.0 0.5465 0.2160 0.8769 0 1 0 1 A 1 7 5 95.0 0.5716 0.2022 0.9411 0 1 0 1 A 1 7 6 95.0 -0.0626 -0.1377 0.0125 0 1 0 1 A 1 8 5 95.0 0.0791 -0.0863 0.2445 0 1 0 1 A 1 8 6 95.0 -0.0452 -0.0789 -0.0115 0 1 0 1 This problem used 4.2% of my workspace Task Time elapsed (DD:HH:MM:SS) Reading script & data 0: 0: 0: 0.33 Execution 0: 0: 1:24.42 TOTAL 0: 0: 1:24.75 Total number of warnings issued: 0 ______________________________________________________________________________