Hi everyone, I am running a BCHOICE procedure and was wondering how I can get the covarance and correlation matrix as an actual data output (and not via running stats=corr or stats=cov). Furthermore I wondered why the stats=cov table, for example, shows covariances and variances of the covariances itself (e.g. REmean"Attrlvl1"). What sense does it make to show the covariance matrix of the covariance? Possibly, my thinking is wrong so I am glad for help. Lastly, if I want to draw conclusions to how much my parameters are associated what is the best way? The standard BCHOICE output gives me the mean random estimates (e.g. REmeanAttrlvl1) and its covariaces (e.g. RECovAttrlvl1, Attrlvl 2). So I could interpret them just as I always would with covariates (e.g. Attrlvl1 and Attrlvl2 are positiely associated). However, doesn't the correlation between those two give better interpretable results? How would you proceed? Thank you very much for your help. Best, Alex
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