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Date:         Thu, 17 Feb 2005 15:27:15 -0500
Reply-To:     Mark A Davenport MADAVENP <M_Davenport@UNCG.EDU>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Mark A Davenport MADAVENP <M_Davenport@UNCG.EDU>
Subject:      Re: corr vs regression
Comments: To: "Chelminski, Iwona" <IChelminski@lifespan.org>
In-Reply-To:  <D951E77832EA35429DB06CCDFCCBA00005011D3E@lsexch3.lsmaster.lifespan.org>
Content-Type: text/plain; charset="US-ASCII"

Depends on the research question. If you assume that all of the IVs are not related, you could do the correlations. However, that doesn't sound very realistic in practice. I think you will find that regression gives you more useful information.

*************************************************************************************************************************************************************** Mark A. Davenport Ph.D. Asst. to the Vice Chancellor for Student Affairs Office of Student Affairs Research and Evaluation The University of North Carolina at Greensboro 336.334.5582 M_Davenport@uncg.edu

'An approximate answer to the right question is worth a good deal more than an exact answer to an approximate question.' -- J. W. Tukey

"Chelminski, Iwona" <IChelminski@lifespan.org> Sent by: "SPSSX(r) Discussion" <SPSSX-L@VM.MARIST.EDU> 02/17/2005 03:09 PM Please respond to "Chelminski, Iwona" <IChelminski@lifespan.org>

To SPSSX-L@VM.MARIST.EDU cc

Subject corr vs regression

Hi all, Would it be ever appropriate to run 5 separate partial correlations (between one variable and 5 others) instead of regression analysis with this one variable as DV and 5 others as predictors?

Thanks in advance!


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