Re: st: sem multiple correlations and factor weights

[William Buchanan <william@williambuchanan.net>]

Maybe you could be a bit more specific regarding what you are looking for.  SPSS, for example, does not fit SEM (although the AMOS program which extends SPSS does).  So SPSS and SAS have very different capacities in that respect.  If you are referring to PCA/PFA then that is altogether different.  If you want the variance covariance matrix after fitting an SEM in Stata then you can retrieve that from the stored matrices after the estimation.  Additionally, if you use -estat framework- after fitting the model you can retrieve the different matrices used in the estimation of the model:

webuse sem_mimic1, clear
sem (SubjSES -> s_income s_occpres s_socstat)(SubjSES <- income occpres)
estat framework // This will give you the covariances
estat framework, standardized  // This will give you the correlations (i.e., standardized covariances)

HTH,
Billy

On Sep 24, 2013, at 8:36 AM, Dave Garson <garson@ncsu.edu> wrote:

> For SEM, both SAS and SPSS print out a table of multiple correlations and a table of factor weights of indicator variable loadings on latent variables. I could not find these in Stata's sem, nor in the reference guide (though the guide calls indicator paths "loadings" but that is a different meaning from SAS or SPSS).  Tips on getting this output in sem would be appreciated.
> Dave
> 
> =
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