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

By Herman Aguinis, R. Gottfredson. 2010

344 citations recorded by the source corpus.

Subfields: Management Information Systems, Organizational Behavior and Human Resource Management, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/2ae107e5c0087a140c896f54067203945b891ed9

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Citations in the corpus

Unraveling the effects of environmental outcomes and processes on financial performance: A non-linear approach (2014, background): “Generally, interaction effects are only deemed significant if they explain a greater portion of the variance in the dependent variable than a model that includes only the main effects (Aguinis and Gottfredson, 2010).”
Improving Our Understanding of Moderation and Mediation in Strategic Management Research (2017, background): “Hence, this practice should be discontinued (Aguinis, 1995; Aguinis & Gottfredson, 2010).”
Leader–member exchange (LMX), job autonomy, and creative work involvement (2012, methodology): “Following the recommendation from Aiken and West (1991), we centered our variables and tested whether the conditional effects, that is, the average value of the regression Y (i.”
The Too-Much-of-a-Good-Thing Effect in Management (2013, methodology): “We refer readers to recent reviews regarding statistical power issues to detect interaction effects in the context of regression (Aguinis & Gottfredson, 2010) and meta-analysis (Aguinis, Gottfredson, & Wright, in press).”
Organizational learning, entrepreneurial orientation, and the role of university engagement in SMEs (2016, methodology): “As described by Aguinis and Gottfredson (2010), this involves creating two ordinary least-squares (OLS) regression equations (1) and (2) below, where y is the dependent variable OL, x is the independent variable EO, z is the moderator business/university engagement, e is the residual term, a is the…”
Measuring Job-Related Situational Strength and Assessing Its Interactive Effects With Personality on Voluntary Work Behavior (2014, background): “…standardized scores (i.e., mean-centered scores divided by their standard deviation) in lieu of mean-centered scores does not affect conclusions associated with tests of either the regression coefficient or the incremental validity associated with the interaction term (Aguinis & Gottfredson, 2010).”
From the Editors: Explaining interaction effects within and across levels of analysis (2014, methodology): “We go beyond statistical explanations of interaction effects and their detection (see, e.g., Aguinis & Gottfredson, 2010; Jaccard & Turrisi, 2003; Shieh, 2009), which, depending on how the variables are measured and the type of statistical method used, can be quite challenging.”
Understanding “It Depends” in Organizational Research (2017, background): “If, in Equation 2 where the predictors are centered (Aguinis & Gottfredson, 2010; Cohen et al., 2003), the coefficient for the moderator variable (b2) and the coefficient for the interaction term (b3) have the same directionality (i.e., both positive or both negative), then the resulting crossing…”
MODERATION ANALYSIS: ISSUES AND GUIDELINES (2019, background): “Hence, this practice should be discontinued (Aguinis, 1995; Aguinis & Gottfredson, 2010).”
Contingency Hypotheses in Strategic Management Research (2012, unknown): “Moreover, the methodological practices documented in other journals, including AMJ, Personnel Psychology, and the Journal of Applied Psychology, are similar to those we observed in SMJ (Aguinis, Beaty, Boik, & Pierce, 2005; Aguinis & Gottfredson, 2010; Aguinis, Petersen, & Pierce, 1999).”
Contagion of Entrepreneurial Passion: Effects on Employee Outcomes (2020, background): “Again, given the distribution of comparable effect sizes, the detected effects may be deemed relevant (Bosco et al., 2015), particularly as we are examining interaction effects (Aguinis & Gottfredson, 2010).”