http://spssx-discussion.165.s1.nabble.com/Sign-on-regression-coef-tp1072952p1072954.html
My thanks to all for your comments, help & insight.
> Lisa,
>
> David's example is a good one. Another example that comes to mind has
> been
> reported in research on self-esteem in early adolescence. In a study by
> David Dubois, peer self-esteem and academic self-esteem both correlated
> with
> students' academic performance, and with one another. However, when both
> academic and peer self-esteem were entered into a reqression equation to
> predict students' academic performance, the beta weight for peer-self
> esteem
> is negative. Students' who have high levels of peer self-esteem relative
> to
> academic self-esteem have poorer performance. Illustratively, students
> with
> high peer and low academic self-esteem do poorly, while those who have low
> peer and high academic self-esteem perform well. A key issue to examine
> with supressor variables is the relationship between the unique variance
> in
> the predictors and the criterion variable. In this example, the unique
> variance of peer self-esteem (the portion that is not shared with academic
> self-esteem) has a negative association with acsdemic performance. Such
> situations can arise even when the predictor variables have a moderate
> correlation (.4 to .5), depending on how the remaining unique variance is
> associated with the criterion variable.
>
> HTH,
>
> Stephen Brand
>
> For personalized and professional consultation in statistics and research
> design, visit
> www.statisticsdoc.com
>
>
> -----Original Message-----
> From: SPSSX(r) Discussion [mailto:
[hidden email]]On Behalf Of
> Lisa Stickney
> Sent: Tuesday, January 02, 2007 8:51 PM
> To:
[hidden email]
> Subject: Sign on regression coef?
>
> Can anyone tell me when/why this might occur? Thanks in advance.
>
> Best,
> Lisa
>
> Lisa T. Stickney
> Ph.D. Candidate
> The Fox School of Business
> and Management
> Temple University
>
[hidden email]
>