!Mx Frontend Auto-generated Script. ver 1.0
!Created at 1:39:49 on 15 Feb 1998 by
!neale
! -------------- Group ID 1----------------
The following MX script lines were read for group 1 MXPATHDIAGRAM1 NGROUPS=1 Note: Opening #include file 1 C:\MXGUI32\EXAMPLES\BIV.DAT DATA NINPUT=2 NOBSERVATIONS=133 CMATRIX .95 .55 1.23 LABELS X Y Note: Closing #include file 1 SELECT X Y ; #DEFINE NUMMANIFEST 2 BEGIN MATRICES; S SYMM 2 2 A FULL 2 2 F FULL 2 2 I IDEN 2 2 END MATRICES; MATRIX S 1 0 1 SPECIFY S 1 0 2 LABEL ROW S X Y LABEL COL S X Y MATRIX F 1 0 0 1 LABEL ROW F X Y LABEL COL F X Y COVARIANCE F & ((I - A)~ & S); OPTIONS RSIDUAL OPTIONS CI=90 END GROUP;
Matrix A Specification View estimates Index
This is a FULL matrix of order 2 by 2 It has no free parameters specifiedMatrix F Specification View estimates Index
This is a FULL matrix of order 2 by 2 It has no free parameters specifiedMatrix I Specification View estimates Index
This is an IDENTITY matrix of order 2 by 2Matrix S Specification View estimates Index
This is a SYMMETRIC matrix of order 2 by 2 X Y X 1 Y 0 2
Matrix A Estimates (No free parameters) Index
This is a FULL matrix of order 2 by 2 1 2 1 0.0000 0.0000 2 0.0000 0.0000Matrix F Estimates (No free parameters) Index
This is a FULL matrix of order 2 by 2 X Y X 1.0000 0.0000 Y 0.0000 1.0000Matrix I Estimates (No free parameters) Index
This is an IDENTITY matrix of order 2 by 2Matrix S Estimates View specifications Index
This is a SYMMETRIC matrix of order 2 by 2 X Y X 0.9500 Y 0.0000 1.2300 OBSERVED COVARIANCE MATRIX X Y X 0.9500 Y 0.5500 1.2300 EXPECTED COVARIANCE MATRIX X Y X 0.9500 Y 0.0000 1.2300 RESIDUAL MATRIX X Y X -8.1689E-08 Y 5.5000E-01 -6.0584E-08 Function value of this group: 39.5460 Where the fit function is Maximum Likelihood
Your model has 2 estimated parameters and 3 Observed statistics Chi-squared fit of model >>>>>>> 39.546 Degrees of freedom >>>>>>>>>>>>> 1 Probability >>>>>>>>>>>>>>>>>>>> 0.000 Akaike's Information Criterion > 37.546 RMSEA >>>>>>>>>>>>>>>>>>>>>>>>>> 0.538 I had some trouble calculating them, but perhaps 90% confidence intervals on Chi-squared could be: from 21.564 to 62.957 90% confidence intervals on AIC: from 19.564 to 60.957 90% confidence intervals on RMSEA: from 0.393 to 0.683 This problem used 0.4% of my workspace Task Time elapsed (DD:HH:MM:SS) Reading script & data 0: 0: 0: 0.05 Execution 0: 0: 0: 0.17 TOTAL 0: 0: 0: 0.22Total number of warnings issued: 0
Warnings issued this job: ______________________________________________________________________________