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From |
"Rodrigo Alfaro" <raalfaroa@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Sun, 22 Jul 2007 20:08:55 -0700 |

If I'm correct (and again, I'm not sure I am), you would need to only apply some procedure that uses the EM algorithm to impute a single data set that would subsequently provide factor loadings that were essentially the same as those obtained through the use of multiple imputation, since the EM procedure doesn't add the noise to each data set that represents the imputation uncertainty that the MI procedures do. ...again, however, I'm hoping that someone could either confirm that I'm correct, or tell me where I'm wrong because I'm working on something similar. Jeff * * 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/

I said something similar, (1) compute EM, (2) use covariance matrix to compute eigenvalues, etc. R * * 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/

**References**:**st: Factor analysis after multiple imputation in STATA***From:*"Woolton Lee" <finished07@gmail.com>

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

**Re: st: Factor analysis after multiple imputation in STATA***From:*Jeff <stat3@jp.pair.com>

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