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From |
"Woolton Lee" <finished07@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Factor analysis after multiple imputation in STATA |

Date |
Thu, 12 Jul 2007 16:44:49 -0400 |

I am working with a dataset with many missing values across the variables and have used multiple imputation via chained equations (created by Patrick Royston) to generate 5 multiply imputed datasets with the objective of running factor analysis to analyze the relationships among the variables in the dataset. However, it seems that MICOMBINE is only tailored for regression type procedures and is not appropriate for application when implementing factor analysis after multiple imputation. Is there a STATA command such as MICOMBINE that can be used to obtain factor loadings from the multiply imputed data or will I have to apply Rubin (1987) 's formula manually (via MATA or programming) to obtain the factor loadings after running factor analysis separately on each of the imputed datasets? As a side note, I think that Rubin (1987)'s formula applied to factor analysis would simply be the mean of the of the factor loadings across the imputed datasets (I have 5 imputed datasets) , but is this correct, or should I be using a different formula for the factor loadings across imputed datasets? I would greatly appreciate any assistance, Woolton * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Factor analysis after multiple imputation in STATA***From:*"Stas Kolenikov" <skolenik@gmail.com>

**st: Re: Factor analysis after multiple imputation in STATA***From:*"Rodrigo A. Alfaro" <raalfaroa@gmail.com>

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