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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" <>
In-Reply-To:  <>
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

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


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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