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Frank A. Bosco

Researcher at Virginia Commonwealth University

Publications -  38
Citations -  7892

Frank A. Bosco is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Industrial and organizational psychology & Job satisfaction. The author has an hindex of 15, co-authored 31 publications receiving 6457 citations. Previous affiliations of Frank A. Bosco include Marshall University & Montana State University.

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Estimating the reproducibility of psychological science

Alexander A. Aarts, +290 more
- 28 Aug 2015 - 
TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
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Correlational effect size benchmarks

TL;DR: This study extracted 147,328 correlations and developed a hierarchical taxonomy of variables reported in Journal of Applied Psychology and Personnel Psychology from 1980 to 2010 to produce empirical effect size benchmarks at the omnibus level, for 20 common research domains, and for an even finer grained level of generality.
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Meta-Analytic Review of Employee Turnover as a Predictor of Firm Performance

TL;DR: This paper conducted a meta-analytic review in which they test and provide support for a portion of Hausknecht and Trevor's model of collective turnover and found that the mean corrected correlation between turnover and organizational performance is −.03.
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Meta-Analytic Choices and Judgment Calls: Implications for Theory Building and Testing, Obtained Effect Sizes, and Scholarly Impact

TL;DR: In this paper, the authors analyzed 196 meta-analyses including 5,581 effect-size estimates published in Academy of Management Journal, Journal of Applied Psychology and Journal of Management, Personnel Psychology and Strategic Management Journal from January 1982 through August 2009 to assess the presumed effects of each of 21 methodological choices and judgment calls on substantive conclusions.
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Debunking Myths and Urban Legends About Meta-Analysis

TL;DR: In this paper, the authors discuss seven meta-analytic practices, misconceptions, claims, and assumptions that have reached the status of myths and urban legends (MULs), including issues related to data collection, consequences of choices made in the process of gathering primary-level studies to be included in a meta-analysis, data analysis, and interpretation of results.