How to Test and Report InteractionModerating Effects

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Deep Dive Podcast: How to Test and Report Interaction/Moderating Effects • Five takeaways: • 1️⃣ Inconsistencies and Gaps in Reporting: Many studies fail to fully describe interaction effects, making it difficult to grasp their nature and significance. This inconsistency and lack of detailed reporting can mislead readers about the strength and importance of these effects. • 2️⃣ Visualizations Misrepresent Effect Size: Overusing truncated visual scales in graphical representations can exaggerate the perceived impact of interaction effects. This practice might lead to undue emphasis on minor findings, steering research and practice in potentially unproductive directions. • 3️⃣ Lack of Effect Size Estimates: Many articles do not report a quantifiable measure of interaction effect size, like delta R, which is crucial for assessing the actual impact of the interactions beyond p-values and regression coefficients. • 4️⃣ Recommendations for Improvement: We suggest employing full-range visualizations to avoid distortion of effect sizes and recommend including clear, interpretable effect size measures and detailed interpretations of the nature of interaction effects to enhance understanding and application. • 5️⃣ Enhancing Theoretical and Practical Relevance: By providing comprehensive details about the strength, nature, and implications of interaction effects, researchers can make their findings more actionable for theory development and practical application, aiding decision-makers in more accurately aligning strategies with evidence-based insights. • Get open-access article: Murphy, K. R., Aguinis, H. 2022. Reporting interactions: Visualization, effect size, and interpretation. Journal of Management, 48(8): 2159–2166. https://doi.org/10.1177/0149206322108...

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