Can I have a second question--
Why has non-normally distributed data been a problem in EFA? I know there is some assumption in OLS regression or so, but it has never been a practical problem before unless you have a really wierd distribution. It seems to me just a data exploration (or reducing) technique. Unless you are really using the factor calculated from the factor analysis (like a propensity scale or some instrumental variables), it does not seem to me an issue.