Best-practice recommendations for estimating interaction effects using meta-analysis

By Herman Aguinis, R. Gottfredson, T. A. Wright. 2011

196 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c5b96e296555e2f648a886f0610d3c04e04b1658

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In Statistics and Probability

Citations in the corpus

Examining the “Pros” and “Cons” of Team Conflict: A Team-Level Meta-Analysis of Task, Relationship, and Process Conflict (2013, methodology): “Moreover, it seemed to be the optimal strategy given that all of our moderators were clearly discrete categorical variables, and WLS regression, employed by de Wit et al. (2012), is intended for continuous moderators (Aguinis et al., 2011; Hedges & Olkin, 1985; Steel & Kammeyer-Mueller, 2002).”
Understanding sustained participation in transactional virtual communities (2012, methodology): “Moderated multiple regression (MMR) analysis was used to test the hypotheses because it is a mature analysis approach widely utilized in organization science, appearing on esteemed publications such as Journal of Applied Psychology and Academy of Management Journal (Aguinis and Gottfredson, 2010).”
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).”
Entrepreneurial Team Composition Characteristics and New Venture Performance: A Meta–Analysis (2017, unknown): “Aguinis et al. (2011) recommend juxtaposing meta-analytic findings with other published meta-analytic findings to put results into context in terms of their relative strength or weakness vis- a-vis other results.”
The Psychological Effects of Solitary Confinement: A Systematic Critique (2018, methodology): “28 Morgan et al. (2016) appear to have used statistical methods that require very stringent assumptions and will give misleading results if these assumptions are violated (e.g., Aguinis, Gottfredson, and Wright 2011).”
Activity Achievement Emotions and Academic Performance: A Meta-analysis (2021, background): “Such moderator analyses are thus pivotal for probing the generalizability of construct relations across different groups of learners, learning settings, and construct operationalizations and provide insight into potential boundary conditions of a theory (Aguinis et al. 2011; Pekrun 2009).”