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- Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
- Path: sparky!uunet!paladin.american.edu!auvm!UGA.BITNET!FDANE
- Message-ID: <EDSTAT-L%92112014154232@NCSUVM.CC.NCSU.EDU>
- Newsgroups: bit.listserv.edstat-l
- Date: Fri, 20 Nov 1992 14:09:08 EST
- Reply-To: Frank Dane <FDANE@UGA.BITNET>
- Sender: "Statistics Education Discussion" <EDSTAT-L@NCSUVM.BITNET>
- From: Frank Dane <FDANE@UGA.BITNET>
- Subject: Re: Diff in R squares
- In-Reply-To: Message of Fri, 20 Nov 1992 13:50:00 EST from <DMR@PSUVM>
- Lines: 13
-
- The easiest way to test R^2 differences between groups is to include
- a grouping variable in the equation. If the grouping variable (dummy
- or contrast coding) is "significant", beta will provide some measure of
- theinfluence of the grouping variable. This apparoach also includes
- the advantage of testing for interactions between the grouping variable
- and the other variable(s) in the equation.
-
- Dr. Francis C. Dane, Associate Professor and Chair
- Department of Psychology, Mercer University
- Macon, GA 31207-0001 USA
- Bitnet: FDANE@UGA Internet: FDANE@UGA.CC.UGA.EDU
- Tel: (912) 752-2972
- Fax: (912) 752-2108
-