Mean Centering, Multicollinearity, and Moderators in Multiple Regression: The Reconciliation Redux

Behavior Research Methods, 49, 403-404 (2017)

4 Pages Posted: 29 Jul 2019

See all articles by Dawn Iacobucci

Dawn Iacobucci

Vanderbilt University - Marketing; Vanderbilt University - Marketing

Matthew Schneider

Northwestern University - Integrated Marketing Communications Program

Deidre Popovich

Rawls College of Business, Texas Tech University

Yiorgos Bakamitsos

Stetson University

Date Written: 2017

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

Suggested Citation

Iacobucci, Dawn and Iacobucci, Dawn and Schneider, Matthew and Popovich, Deidre and Bakamitsos, Yiorgos, Mean Centering, Multicollinearity, and Moderators in Multiple Regression: The Reconciliation Redux (2017). Behavior Research Methods, 49, 403-404 (2017), Available at SSRN: https://ssrn.com/abstract=3426005

Dawn Iacobucci (Contact Author)

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Matthew Schneider

Northwestern University - Integrated Marketing Communications Program ( email )

Evanston, IL
United States

Deidre Popovich

Rawls College of Business, Texas Tech University ( email )

Lubbock, TX 79409
United States

Yiorgos Bakamitsos

Stetson University ( email )

Gulfport, FL 33707
United States

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