| Date: | Mon, 13 Mar 2000 10:35:44 -0500 |
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| Reply-To: | "Andrew F. Hayes" <Andrew.F.Hayes@DARTMOUTH.EDU> |
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| Sender: | "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU> |
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| From: | "Andrew F. Hayes" <Andrew.F.Hayes@DARTMOUTH.EDU> |
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| Subject: | Re: Negative Coefficients |
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| In-Reply-To: | <Pine.A41.4.21L1.0003131026020.94306-100000@login0.isis.unc .edu> |
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| Content-Type: | text/plain; charset="us-ascii" |
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>The result that you describe is often described in the literature as
>"suppression." It is not all that unusual in non-experimental
>analyses... The magnitude/pattern of intercorrelation among the
>independent variables is the culprit...
>
>For a more complete explanation, see Cohen and Cohen (Applied Regression
>Analysis) or Darlington (Linear Models).
>
....as well as Smith et al. (1992). Suppressor variables in
multiple-regression correlation. Educational and Psychological Measurement,
52, 17-29.
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Andrew F. Hayes, Ph.D.
Research Statistician
Tuck School of Business at Dartmouth
Adjunct Assistant Professor
Department of Psychological and Brain Sciences
DARTMOUTH COLLEGE
HANOVER, NH 03755
603-646-3741
Research Computing on the WWW:
http://mba.tuck.dartmouth.edu/pages/admin/research/
To make a Research Computing Request:
http://mba.tuck.dartmouth.edu/pages/admin/research/rrequest.htm
Personal Web Page:
http://mba.tuck.dartmouth.edu/pages/faculty/Andrew.Hayes
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