Mean-centering does not alleviate collinearity problems in moderated multiple regression models

Marketing Science

Volumn 26, Issue 3, 2007, Pages 438-445

  Echambadi, Raj ^a   Hess, James D ^b  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

^b UNIVERSITY OF HOUSTON   (United States)

Author keywords

Collinearity; Mean centering; Moderated regression

Indexed keywords

EID: 34548105558     PISSN: 07322399     EISSN: 1526548X     Source Type: Journal    
DOI: 10.1287/mksc.1060.0263     Document Type: Article

References (20)

1. Aiken, L. S., S. G. West. 1991. Multiple Regression: Testing and Interpreting Interactions. Sage Publications, Newbury Park, CA.
2. Belsley, D. A. 1984. Demeaning conditioning diagnostics through centering. Amer. Statistician 38(2) 73-77.
3. Belsley, D. A. 1991. Conditioning Diagnostics: Collinearity and Weak Data in Regression. John Wiley & Sons, New York.
4. Bottomley, P., S. Holden. 2001. Do we really know how consumers evaluate brand extensions? Empirical generalizations based on secondary analysis of eight studies. J. Marketing Res. 38(4) 494-500.
5. Coenders, G., M. Saez. 2000. Collinearity, heteroscedasticity and outlier diagnostics in regression. Do they always offer what they claim? A. Ferligoj, A. Mrvar, eds. New Approaches in Applied Statistics, Metodološki Zvezki. Vol. 16. Faculty of Social Sciences, Ljubljana, Slovenia, 79-94.
6. Cohen, J., P. Cohen. 1983. Applied Multiple Regression: Correlation Analysis for Behavioral Sciences, 2nd ed. Lawrence Erlbaum Associates, Hillsdale, NJ.
7. Cronbach, L. J. 1987. Statistical tests for moderator variables: flaws in analyses recently proposed. Psych. Bull. 102(3) 414-417.
8. Echambadi, R., I. Arroniz, W. Reinartz, J. Lee. 2006. Empirical generalizations from brand extension research: how sure are we? Internat. J. Res. Marketing 23(3) 253-261.
9. Grewal, R., J. A. Cote, H. Baumgartner. 2004. Multicollinearity and measurement error in structural equation models: implications for theory testing. Marketing Sci. 23(4) 519-529.
10. Irwin, J. R., G. H. McClelland. 2001. Misleading heuristics and moderated multiple regression models. J. Marketing Res. 38(1) 100-109.
11. Jaccard, J. R., R. Turrisi, C. K. Wan. 1990. Interaction Effects in Multiple Regression. Sage Publications, Newbury Park, CA.
12. Judge, G. G., W. E. Griffiths, R. C. Hill, H. Lutkepohl, T.-C. Lee. 1988. Introduction to the Theory and Practice of Econometrics, 2nd ed. John Wiley & Sons, New York.
13. Kam, C. D., R. J. Franzese. 2005. Modeling and Interpreting Interactive Hypotheses in Regression Analysis: A Refresher and Some Practical Advice. University of Michigan Press, Ann Arbor, MI.
14. Kopalle, P. K., D. R. Lehmann. 2006. Setting quality expectations when entering a market: what should the promise be? Marketing Sci. 25(1) 8-24.
15. Kromrey, J. D., L. Foster-Johnson. 1998. Mean centering in moderated multiple regression: much ado about nothing. Ed. Psych. Measurement 58(1) 42-67.
16. Lance, C. E. 1988. Residual centering, exploratory and confirmatory moderator analysis, and decomposition of effects in path models containing interactions. Appl. Psych. Measurement 12(June) 163-175.
17. McCullough, B. D. 1999. Assessing the reliability of statistical software: Part II. Amer. Statistician 53(2) 149-159.
18. Morris, J. H., J. D. Sherman, E. R. Mansfield. 1986. Failures to detect moderating effects with ordinary least squares-moderated multiple regression: some reasons and a remedy. Psych. Bull. 99 282-288.
19. Sharma, S., R. M. Durand, O. Gur-Arie. 1981. Identification and analysis of moderator variables. J. Marketing Res. 18(3) 291-300.
20. Woolridge, J. M. 2001. Econometric Analysis of Cross Section and Panel Data. MIT Press, Cambridge, MA.