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| From | Maarten Buis <maartenlbuis@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: R: Re: Factor Analysis and Multiple Imputation |
| Date | Mon, 10 Oct 2011 12:53:26 +0200 |
On Mon, Oct 10, 2011 at 12:30 PM, Mihir wrote: > Any rational for doing so? Does 5 times bigger sample size will affect the > factor score/bartlett score? No, should not get a five times bigger sample size, you should get five samples of the same size. The difference between these samples are the imputed values, which are random draws from the posterior distribution. It is a different matter how you store these different samples, in some (correct) ways of doing so make it appear that you have a 5 (or 6) times larger sample size. Important is that Stata knows that that is not the case, and treats these cases accordingly. If you want/have to do it manually (i.e. cannot use -mi- or -mim-), you really need to be careful in order to do this right. Anyhow, the logic is the same as the logic underlying multiple imputation, see any introductory text on that. Hope this helps, Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/