Best-practice recommendations for estimating interaction effects using moderated multiple regression

An interaction effect indicates that a relationship is contingent upon the values of another (moderator) variable. Thus, interaction effects describe conditions under which relationships change in strength and/or direction. Understanding interaction effects is essential for the advancement of the or...

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Veröffentlicht in:Journal of organizational behavior 2010-08, Vol.31 (6), p.776-786
Hauptverfasser: Aguinis, Herman, Gottfredson, Ryan K.
Format: Artikel
Sprache:eng
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Zusammenfassung:An interaction effect indicates that a relationship is contingent upon the values of another (moderator) variable. Thus, interaction effects describe conditions under which relationships change in strength and/or direction. Understanding interaction effects is essential for the advancement of the organizational sciences because they highlight a theory's boundary conditions. We describe procedures for estimating and interpreting interaction effects using moderated multiple regression (MMR). We distill the technical literature for a general readership of organizational science researchers and include specific best-practice recommendations regarding actions researchers can take before and after data collection to improve the accuracy of MMR-based conclusions regarding interaction effects.
ISSN:0894-3796
1099-1379
DOI:10.1002/job.686