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

被引：0
|
作者：
Dawn Iacobucci
Matthew J. Schneider
Deidre L. Popovich
Georgios A. Bakamitsos
机构：
[1] Vanderbilt University,Decision Sciences
[2] Drexel University,Marketing
[3] Texas Tech University,Marketing
[4] Stetson University,undefined
来源：
Behavior Research Methods | 2017年 / 49卷
关键词：
Moderated regression; Mean center;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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).
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页码：403 / 404
页数：1
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