Correlational effect size benchmarks.

By Frank Bosco, Herman Aguinis, Kulraj Singh, James G. Field, C. Pierce. Journal of Applied Psychology, 2015

711 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4d874d08bf62c2ceafff5126f2943a7a86ed53f9

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Citations in the corpus

HARKing's Threat to Organizational Research: Evidence From Primary and Meta‐Analytic Sources (2016, neutral): “Similar to other reviews and syntheses of correlations (e.g., Aguinis, Dalton, Bosco, Pierce, & Dalton, 2011; Bosco et al., 2015), we conducted our analyses at the effect size level because we were interested in unique bivariate relations and substantive relations.”
Advancing Theory by Assessing Boundary Conditions With Metaregression: A Critical Review and Best-Practice Recommendations (2018, background): “Fortunately, priors in the context of metaregression can be created with the database of about 150,000 effect sizes made available by Bosco et al. (2015).”
Are Social Media Ruining Our Lives? A Review of Meta-Analytic Evidence (2019, background): “However, large effects are very rare in psychological research (Bosco et al., 2015; Gignac & Szodorai, 2016), so it would be unfair to expect large effects (r = .”
Team adaptation in context: An integrated conceptual model and meta-analytic review (2017, neutral): “Bosco et al. (2014) analyzed 147,328 correlations, and made recommendations based on the actual distributions of effect sizes reported in the literature.”
Answers to 18 Questions About Open Science Practices (2018, neutral): “Open science practices can help in this endeavor, as demonstrated by Bosco, Aguinis, Singh, Field, and Pierce, (2015) who examined large open-access data repository to generate context-specific statistical power estimates A third action is to provide the full dataset of variables tested and…”