|Date: ||Mon, 13 Mar 2000 10:35:44 -0500|
|Reply-To: ||"Andrew F. Hayes" <Andrew.F.Hayes@DARTMOUTH.EDU>|
|Sender: ||"SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>|
|From: ||"Andrew F. Hayes" <Andrew.F.Hayes@DARTMOUTH.EDU>|
|Subject: ||Re: Negative Coefficients|
|In-Reply-To: ||<Pine.A41.4.21L1.firstname.lastname@example.org .edu>|
|Content-Type: ||text/plain; charset="us-ascii"|
>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,
Andrew F. Hayes, Ph.D.
Tuck School of Business at Dartmouth
Adjunct Assistant Professor
Department of Psychological and Brain Sciences
HANOVER, NH 03755
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