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 pyen posted on Saturday, January 02, 2010 - 6:04 pm
Hi,

I couldn't find principal axis factoring in Mplus. I saw someone mentioned that ULS is similar to principal axis factoring, is that right?

I did principal axis factoring+oblimin in SPSS, and ULS+oblimin in mplus, but the factor loadings are different. Did I miss anything?

Thanks!!
 Bengt O. Muthen posted on Sunday, January 03, 2010 - 12:28 pm
ULS is the same as the MINRES method described in Harman's factor analysis book. The equivalence is pointed out e.g. by Joreskog (2007) in the book Factor Analysis at 100. Principal-factoring is an older and different method.

I would use ULS or ML with Geomin rotation in Mplus.
 J.D. Haltigan posted on Thursday, January 12, 2012 - 10:09 am
To add on to this....so if indicators have marked non-normality...use ULS in Mplus (i.e., as an alternate to ML)?

In short, if my indicators are non-normally distributed (i.e., some have marked skewness and kurtosis) what would be the most optimal estimator in Mplus (for EFA)?
 Bengt O. Muthen posted on Thursday, January 12, 2012 - 8:31 pm
No, I would not hesitate to use ML also for non-normal continuous outcomes. The sample correlations are the same as for ULS and the ML fitting function is more thorough in getting Sigma-hat close to R so estimates will be ok. MLR (or MLM) provides non-normality corrected chi-square and SEs.

Only if the non-normality amounts to floor or ceiling effects would I switch away from the usual approach (ML or ULS) and consider the outcomes as say censored.
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