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| From | "Carlo Lazzaro" <carlo.lazzaro@tin.it> |
| To | <statalist@hsphsun2.harvard.edu> |
| Subject | st: R: Re: Factor Analysis and Multiple Imputation |
| Date | Mon, 10 Oct 2011 11:02:04 +0200 |
Dear Mihir, I would suggest you to combine the 5 data sets and then calculate the bartlett score. Kindest Regards, Carlo -----Messaggio originale----- Da: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di mihir Inviato: domenica 9 ottobre 2011 10.00 A: statalist@hsphsun2.harvard.edu Oggetto: st: Re: Factor Analysis and Multiple Imputation Thanks guys. This old post is still useful. Right now I am in a similar problem. I would appreciate if you can guide me. I have generated multiple data (5 data sets) using multiple imputation using ICE. Now I want to create a bartlett score using principal component from available imputed variables to use it as a predictor in several regression analysis. I don't know how to create bartlett score from 5 imputed data sets. Should I calculate the bartlett score separately from each of the 5 imputed data sets OR should I just combined 5 data sets and then calculate the bartlett score? Later, I use mi estimate command to run regression analysis based on 5 imputed data sets (with additional variable - bartlett score). Thanks in advance. Mihir -- View this message in context: http://statalist.1588530.n2.nabble.com/Factor-Analysis-and-Multiple-Imputati on-tp5327397p6873879.html Sent from the Statalist mailing list archive at Nabble.com. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/