Doing EFA after multiple imputation

Posted by ziweiguan on Jul 16, 2015; 4:07pm
URL: http://spssx-discussion.165.s1.nabble.com/Doing-EFA-after-multiple-imputation-tp5730158.html

After multiple imputation, one get a number of data sets, and EFA is not such a procedure to use multiple data sets and finally give pooled estimates.
I found a very interesting discussion in 2013,
http://spssx-discussion.1045642.n5.nabble.com/Multiple-Imputation-tp4994372p5722178.html
where Bruce cited the Graham 2009 paper: "The EM covariance matrix is also an excellent basis for exploratory factor analysis with missing data."

I have two questions:
1. SPSS missing data analysis - EM has an option: save completed data.
Graham pointed out that the single imputed data set based on EM algorithm is not recommended
unless random error residuals are added.

Is there a good way to add the random error residuals?

2. How to use the EM covariance matrix for EFA?
I cannot find an option that I can input the matrix to do EFA, but I guess there must be a way.
Can anyone give me some hints?

Thanks!