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From |
"Garrard, Wendy M." <[email protected]> |

To |
<[email protected]> |

Subject |
st: -factor pcf- vs -pca- (was factor score postestimation) |

Date |
Sun, 11 Sep 2005 10:34:42 -0500 |

Nick, Thanks very much. The "predict" is just what I needed. Also, I appreciate your suggestion about using pca instead of factor since I am using regression. I had noticed Stata has two commands that do principal components; pca, and the pcf option within factor. I generally use the pcf factor option, since I usually want to reduce several predictor variables to a single factor for purposes of regression. I am a bit confused about the difference Stata is making with --pca-- and --factor, pcf--, and should undoubtedly become familiar with this. Would you mind pointing out the gist, and perhaps a reference for more detail? Thanks very much, wg ________________________________ From: [email protected] on behalf of Nick Cox Sent: Fri 9/9/2005 9:42 AM To: [email protected] Subject: st: RE: Factor score, postestimation question -factor- and -pca- have been revised so that their behaviour is closer to that of other commands. The main idea now is to use -predict- instead. As you want to proceed to a regression, -pca- would sound a more obvious choice. Nick [email protected] Garrard, Wendy M. > There seems to be a change (in v. 9) in how one gets factor scores. > Previously (v. 8) I simply used < score factorname > after an analysis > run, but now that returns an error message that "score is not valid > after factor. > > I have checked the help files, etc. but the terms are > puzzling to me and > I can't figure out how to compute a simple factor score (to use in a > regression analysis). > > Could someone please point me in the right direction? * * 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/ * * 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: RE: Factor score, postestimation question***From:*"Nick Cox" <[email protected]>

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