But if you enter only a pooled correlation matrix as the input for the factor analysis, then you wipe away all the differences
in correlations between the imputed datasets, which is then not incorporated in the statistical tests. It will give you unbiased factor loadings but not unbiased statistical tests.
From: SPSSX(r) Discussion <[hidden email]>
On Behalf Of Kirill Orlov
Sent: Wednesday, April 7, 2021 12:53 PM
To: [hidden email]
Subject: Re: Multiple imputation question
E.g., can you use MI with factor analysis?
If CORRELATIONS support MI pooling (I don't remember it), You can get the pooled estimated matrix and input it to FACTOR via syntax to obtain loadings (though not factor scores). Also to remark, MVA (Missing Value Analysis) procedure's EM method produces correct,
unbiased estimates of correlations too. So, if you don't insist to have the complete imputed *dataset* and may do with just a correlation matrix, that is two ways to go.
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