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

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

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 (whi...

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Veröffentlicht in:Behavior Research Methods 2017-02, Vol.49 (1), p.403-404
Hauptverfasser: Iacobucci, Dawn, Schneider, Matthew J., Popovich, Deidre L., Bakamitsos, Georgios A.
Format: Artikel
Sprache:eng
Schlagworte:
Behavioral Science and Psychology
Brief Communication
Cognitive Psychology
Effect Modifier, Epidemiologic
Humans
Models, Theoretical
Multivariate Analysis
Psychology
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Zusammenfassung: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 R 2 will remain undisturbed (which is also good).
ISSN:1554-3528
1554-3528
DOI:10.3758/s13428-016-0827-9