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The power of the plural: Toward a better appreciation of Table 1s in meta-analytic inquiries

Published online by Cambridge University Press:  14 December 2021

Zhenyu Yuan Open the ORCID record for Zhenyu Yuan [Opens in a new window]
Zhenyu Yuan*
Affiliation:
Department of Managerial Studies, College of Business Administration, University of Illinois Chicago
*
Email: zyuan19@uic.edu
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 14 , Issue 4 , December 2021 , pp. 478 - 480
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

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References

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). American Psychological Association. https://doi.org/10.1037/0000165-000 Google Scholar
Carlson, K. D., & Ji, F. X. (2011). Citing and building on meta-analytic findings: Areview and recommendations. Organizational Research Methods, 14(4), 696–717. https://doi.org/10.1177/1094428110384272 CrossRefGoogle Scholar
DeSimone, J. A., Köhler, T., & Schoen, J. L. (2019). If it were only that easy: The use of meta-analytic research by organizational scholars. Organizational Research Methods, 22(4), 867–891. https://doi.org/10.1177/1094428118756743 CrossRefGoogle Scholar
de Wit, F. R. C., Greer, L. L., & Jehn, K. A. (2012). The paradox of intragroup conflict: Ameta-analysis. Journal of Applied Psychology, 97(2), 360–390. https://doi.org/10.1037/a0024844 CrossRefGoogle Scholar
James, L. R., Demaree, R. G., Mulaik, S. A., & Ladd, R. T. (1992). Validity generalization in the context of situational models. Journal of Applied Psychology, 77(1), 3–14. https://doi.org/10.1037/0021-9010.77.1.3 CrossRefGoogle Scholar
Köhler, T., Cortina, J. M., Kurtessis, J. N., & Gölz, M. (2015). Are we correcting correctly? Interdependence of reliabilities in meta-analysis. Organizational Research Methods, 18(3), 355–428. https://doi.org/10.1177/1094428114563617 CrossRefGoogle Scholar
Lindell, M. K., & Brandt, C. J. (2000). Climate quality and climate consensus as mediators of the relationship between organizational antecedents and outcomes. Journal of Applied Psychology, 85(3), 331–348. https://doi.org/10.1037/0021-9010.85.3.331 CrossRefGoogle ScholarPubMed
Murphy, K. (2021). In praise of Table 1: The importance of making better use of descriptive statistics. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(4), 461–477.Google Scholar
Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings. Sage.10.4135/9781483398105CrossRefGoogle Scholar
Schneider, B., Salvaggio, A. N., & Subirats, M. (2002). Climate strength: Anew direction for climate research. Journal of Applied Psychology, 87(2), 220–229. https://doi.org/10.1037/0021-9010.87.2.220 CrossRefGoogle Scholar
Steel, P. D., & Kammeyer-Mueller, J. D. (2002). Comparing meta-analytic moderator estimation techniques under realistic conditions. Journal of Applied Psychology, 87(1), 96–111. https://doi.org/10.1037/0021-9010.87.1.96 CrossRefGoogle ScholarPubMed
Yuan, Z., Morgeson, F. P., & LeBreton, J. M. (2020). Maybe not so independent after all: The possibility, prevalence, and consequences of violating the independence assumptions in psychometric meta-analysis. Personnel Psychology, 73(3), 491–516. https://doi.org/10.1111/peps.12372 CrossRefGoogle Scholar