TY - JOUR
T1 - Reporting Interaction Effects
T2 - Visualization, Effect Size, and Interpretation
AU - Murphy, Kevin R.
AU - Aguinis, Herman
N1 - Publisher Copyright:
© The Author(s) 2022.
PY - 2022/11
Y1 - 2022/11
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 - http://www.scopus.com/inward/record.url?scp=85130254772&partnerID=8YFLogxK
U2 - 10.1177/01492063221088516
DO - 10.1177/01492063221088516
M3 - Editorial
AN - SCOPUS:85130254772
SN - 0149-2063
VL - 48
SP - 2159
EP - 2166
JO - Journal of Management
JF - Journal of Management
IS - 8
ER -