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
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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!