Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models

Raj Echambadi
Raj Echambadi
[email protected]
Department of Marketing, College of Business Administration, University of Central Florida, P.O. Box 161400, Orlando, Florida 32816-1400
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,
James D. Hess
James D. Hess
[email protected]
Department of Marketing and Entrepreneurship, C.T. Bauer College of Business, 375H Melcher Hall, University of Houston, Houston, Texas 77204
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Department of Marketing, College of Business Administration, University of Central Florida, P.O. Box 161400, Orlando, Florida 32816-1400

Search for more papers by this author

James D. Hess

[email protected]

Department of Marketing and Entrepreneurship, C.T. Bauer College of Business, 375H Melcher Hall, University of Houston, Houston, Texas 77204

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Published Online:1 May 2007https://doi.org/10.1287/mksc.1060.0263

Supplemental Material

mksc.1060.0263-sm-technical-appendix.pdf (222 KB)

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Volume 26, Issue 3

May-June 2007

Pages 285-448

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Received:September 21, 2005
Published Online:May 01, 2007

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Raj Echambadi, James D. Hess, (2007) Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models. Marketing Science 26(3):438-445.

https://doi.org/10.1287/mksc.1060.0263

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Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models

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