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- Date: Fri, 31 Jul 1992 11:09:36 MET
- Reply-To: Hessels@SOA.FSW.EUR.NL
- Sender: "SPSSX(r) Discussion" <SPSSX-L@UGA.BITNET>
- From: Hessels@SOA.FSW.EUR.NL
- Subject: re: Final Statistics in Factor
- Comments: To: SPSSX-L@uga.cc.uga.edu
- Lines: 38
-
- John Jaskir asked the following:
-
- > Can anyone shed some light on why SPSS-PC does not compute final
- > eigenvalues and percent of variance explained for rotated factors ?
-
- > Specifically, I'm refering to a principal components analysis with
- > varimax rotation.
-
- > The "final" statistics in the output, I believe, are potentially
- > misleading since it refers to the variance explained by the factors
- > only after the extraction stage. However, when factors are orthogonally
- > rotated the distribution of the explained variance changes amoung the
- > factors. The only way I've been able to determine this new distribution
- > is to calculate the eigenvales by hand and divide by the number of
- > variables.
-
- > Am I missing something?
-
-
- The total amount of of variation explained by the rotated components is the
- same as the amount of variation explained by the original principal
- components, since the rotated coordinate axes lie in the same plane defined by
- the original principal component axes.
-
- See e.g. G.H. Dunteman (1989).
- Principal Components Analysis. Sage University Paper on Quantative Application
- in the Social Sciences.
-
- ******************************************************************************
- Marco G.P. Hessels
- __ ___ ___ Rotterdam Institute for Sociological and
- |/ _ \_/ _ \ Public Administration Research (RISBO)
- <| 0 | 0 |> Erasmus University
- | ( > ) | _ _ _ _ P.O. Box 1738
- | \___/ | (_| | (_ (_) 3000 DR Rotterdam
-
- Phone: (0)10-4082068 Fax: (0)10-4529734 E-mail: Hessels@SOA.FSW.EUR.NL
- ******************************************************************************
-