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From | Nick Cox <njcoxstata@gmail.com> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: Generate one score for 2+ factors? |
Date | Wed, 26 Jun 2013 18:52:09 +0100 |
See http://www.stata.com/statalist/archive/2013-06/msg00415.html for a previous reminder addressed to you directly to use full real names on Statalist. Predicted factor scores can be saved using -predict-. Looking at the help for -factor postestimation- shows that. Then they are just new variables that you can combine as you wish. Whether that's useful is another matter. For example, an idea I often encounter is that if Factor1 and Factor 2 are good, then some combination of the two will be even better. In terms of "proportion explained", that is wrong. If you want a single construct to use you need really good arguments not to use Factor 1. But plotting factor 1 and factor 2 against each other might give idea. I can't remember if I ever knew what Thomson's method was, but I suspect it was Thomson, not Thompson. Nick njcoxstata@gmail.com On 26 June 2013 18:36, nola l <nola0908@gmail.com> wrote: > I have a question on factor analysis. Please pardon me if it sounds > too silly. I am new to factor analysis. > > When we run the factor analysis, normally we need to look at > eigenvalues and see how many factors we need to keep. Here is my > results which suggested keep 2 factors. Is there a program that can > sort of combine two factor into one score? I read from literature that > "the factors must first be generated using the Thompson's regression > method and then each must be multiplied with its own proportion of > variance explained" . Can we do that in Stata? > > k | Eigenvalues | Proportion explained | Cum. explained > ----+---------------+------------------------+------------------ > 1 | 1.763798 | 0.352760 | 0.352760 > 2 | 1.312006 | 0.262401 | 0.615161 > 3 | 0.941635 | 0.188327 | 0.803488 > 4 | 0.592744 | 0.118549 | 0.922037 > 5 | 0.389817 | 0.077963 | 1.000000 > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/