Reporting Interaction Effects: Visualization, Effect Size, and Interpretation

Kevin R. Murphy; Herman Aguinis

doi:10.1177/01492063221088516

Reporting Interaction Effects: Visualization, Effect Size, and Interpretation

Kevin R. Murphy
, Herman Aguinis

George Washington University

Research output: Contribution to journal › Editorial

Abstract

Most management theories include hypotheses about interaction effects (i.e., the relation between two variables depends on values of another), but it is common for articles to present results that make it difficult to evaluate the nature, strength, and importance of the effect. We offer recommendations for improving the reporting of interaction effects by focusing on (a) visualizations, (b) effect size estimates, and (c) assessments of the nature, meaning, and importance of interactions for theory and practice.

Original language	English
Pages (from-to)	2159-2166
Number of pages	8
Journal	Journal of Management
Volume	48
Issue number	8
DOIs	https://doi.org/10.1177/01492063221088516
Publication status	Published - Nov 2022

Keywords

boundary conditions
contingency effects
moderating effect
moderator

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10.1177/01492063221088516

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abstract = "Most management theories include hypotheses about interaction effects (i.e., the relation between two variables depends on values of another), but it is common for articles to present results that make it difficult to evaluate the nature, strength, and importance of the effect. We offer recommendations for improving the reporting of interaction effects by focusing on (a) visualizations, (b) effect size estimates, and (c) assessments of the nature, meaning, and importance of interactions for theory and practice.",

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N2 - Most management theories include hypotheses about interaction effects (i.e., the relation between two variables depends on values of another), but it is common for articles to present results that make it difficult to evaluate the nature, strength, and importance of the effect. We offer recommendations for improving the reporting of interaction effects by focusing on (a) visualizations, (b) effect size estimates, and (c) assessments of the nature, meaning, and importance of interactions for theory and practice.

AB - Most management theories include hypotheses about interaction effects (i.e., the relation between two variables depends on values of another), but it is common for articles to present results that make it difficult to evaluate the nature, strength, and importance of the effect. We offer recommendations for improving the reporting of interaction effects by focusing on (a) visualizations, (b) effect size estimates, and (c) assessments of the nature, meaning, and importance of interactions for theory and practice.

KW - boundary conditions

KW - contingency effects

KW - moderating effect

KW - moderator

UR - https://www.scopus.com/pages/publications/85130254772

U2 - 10.1177/01492063221088516

DO - 10.1177/01492063221088516

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Reporting Interaction Effects: Visualization, Effect Size, and Interpretation

Abstract

Keywords

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