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

Aguinis, Herman, Gottfredson, Ryan K.·2010·Journal of Organizational Behavior

Abstract

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. Copyright © 2010 John Wiley & Sons, Ltd.

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Metadata

Authors
Aguinis, H., & Gottfredson, R. K.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
2010-04-30
Volume
31
Issue
6
Pages
776-786
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
OpenAlex
W2141471465
Cited by
350
References
1
FWCI
14.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Best‐practice recommendations for estimating interaction effects using moderated multiple regression. https://app.cochat.ai/papers/10.1002/job.686
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Aguinis, H., & Gottfredson, R. K. (2010). Best‐practice recommendations for estimating interaction effects using moderated multiple regression. Journal of Organizational Behavior. https://doi.org/10.1002/job.686

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