Hi all,
Is there a reason why oblique (i.e., correlated) factor analysis such
as direct oblim doesn't produce rotated eigenvalues? Is there a way I
can get SPSS to produce them or are they not appropriate for oblique
rotations?
When components are correlated like in oblim, sums of squared loadings
isn't computed to get a total variance and the rotated eigenvalues
output usually comes off with this part of the output (in orthogonal
varimax rotation). Perhaps I am missing something (occupational hazard
of fixating my eyes on a PC until midnight) but I can't find the answer
in any textbook and no-one else seems to know the answer.
Hopefully someone can shed some light as I need to find the answer out
for this by next week!
Many thanks
Kathryn
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