First of all I thank everyone here for their prompt responses.
[EMAIL PROTECTED] (Herman Rubin) wrote in message
news:<a604p8$[EMAIL PROTECTED]>...
> Non-normality will cause problems with classical testing,
> but that is questionable in any case.
But would not using GLS help me get over this? I cannot use MLE
because I have a fairly big sample size (more than 300)and I
understand that MLE is extremely sensitive for sample sizes above 200.
> If one uses a loading-normalized model with covariances,
> not correlations, then the asymptotic distribution of
> the difference between the estimated covariance matrix
> of the factors and the actual sample matrix, and the
> estimated specific variances and the sample values, is
> largely independent of anything.
Cant I do this using AMOS? Also, could you kindly suggest a reference
for this
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