Behavior Research Methods

, Volume 49, Issue 1, pp 403–404

Mean centering, multicollinearity, and moderators in multiple regression: The reconciliation redux

  • Dawn Iacobucci
  • Matthew J. Schneider
  • Deidre L. Popovich
  • Georgios A. Bakamitsos
Brief Communication

DOI: 10.3758/s13428-016-0827-9

Cite this article as:
Iacobucci, D., Schneider, M.J., Popovich, D.L. et al. Behav Res (2017) 49: 403. doi:10.3758/s13428-016-0827-9

Abstract

In this article, we attempt to clarify our statements regarding the effects of mean centering. In a multiple regression with predictors A, B, and A × B (where A × B serves as an interaction term), mean centering A and B prior to computing the product term can clarify the regression coefficients (which is good) and the overall model fit R2 will remain undisturbed (which is also good).

Keywords

Moderated regression Mean center 

Copyright information

© Psychonomic Society, Inc. 2016

Authors and Affiliations

  • Dawn Iacobucci
    • 1
  • Matthew J. Schneider
    • 2
  • Deidre L. Popovich
    • 3
  • Georgios A. Bakamitsos
    • 4
  1. 1.Vanderbilt UniversityNashvilleUSA
  2. 2.Decision SciencesDrexel UniversityPhiladelphiaUSA
  3. 3.MarketingTexas Tech UniversityLubbockUSA
  4. 4.MarketingStetson UniversityDeLandUSA

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