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From |
"Nick Cox" <[email protected]> |

To |
<[email protected]> |

Subject |
st: RE: Factor Analysis |

Date |
Mon, 29 Sep 2003 10:25:44 +0100 |

hscheng and Li-Lang Yang both wrote > I am using the Stata commands -factor- (factor analysis) > and -score- (to > create scores for different factors) for my study. I have > 12 items and > the factor analysis results show 4 different factors. I > can generate > scores for the 4 different factors in 2 different ways. First, > > . factor item1-item12 > . score f1 f2 f3 f4 // so basically, do all of these at once > > Second, > > . factor item1-item12 //say, item1-3 for F1; item4-6 for F2, etc > . factor item1-item3 > . score f1 // This generates the score for Factor 1 > . factor item4-item6 > . score f2 // This generates the score for Factor 2 > . factor item7-item9 > . score f3 // This generates the score for Factor 3 > . factor item10-item12 > . score f4 // This generates the score for Factor 4 > > I know the Stata menu uses the first way, but is the second > way wrong? > The first way and the second way give different results. > Which one is > more accurate? > These commands produce completely different results in general, as they refer to different models. Accuracy is not an issue. First, note that -score- always picks up on the last -factor- or -pca- performed. It has that much memory, and no more. Given 12 variables, -factor- produces a model with up to 12 factors. Evidently in your case the first 4 of those seem important and those can be put in variables -f1-f4- by a single command. However, your other commands refer to separate factor analyses. So for example . factor item1-item3 carries out a factor analysis on just three variables and any -score- command following refers to that analysis. Nick [email protected] * * 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/

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