Question on testing differences between factor loadings

[Mike Donatello-2]

I’m hoping someone can point me in the right direction.

 

I’m looking to test differences between factor loadings on two iterations of the same scale.  That is, I have a set of items measuring media use motivations for one medium, and the same for another medium (i.e., repeated measures).  I want to determine whether the differences in loadings on specific items -- the actual factors themselves come out nearly identical for both media -- are significant, but I can’t find any description of a test to do this.

 

Can I use the Pearson-Filon test for comparing correlated correlations to determine whether individual loadings on each of the factoring iterations are significantly different?  If so, is there supporting literature that I overlooked?  If not, is there another relevant test?

 

Thanks.