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Who Is the Culprit? A Commentary on Moderator Detection

  • Hannah M. Markell (a1) and Jose M. Cortina (a1)
Extract

Over the years, many in the field of organizational psychology have claimed that meta-analytic tests for moderators provide evidence for validity generalization (Schmidt & Hunter, 1977), a term first used in the middle of the last century (Mosier, 1950). In response, Tett, Hundley, and Christiansen (2017) advise caution when it comes to our inclination toward generalizing findings across workplaces/domains and urge precision in attaching meaning to the statistic we are generalizing. Their focal article was insightful and offers important recommendations for researchers regarding certain statistical indicators of unexplained variability, such as SDρ. In this commentary, we would like to make a different point about SDρ, namely that it, and other statistics based on residual variance, will be deflated due to the lack of variance in moderators. It is this lack of between-study variance, as much as anything else, that leads to misguided conclusions about validity generalization.

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Corresponding author
Correspondence concerning this article should be addressed to Hannah M. Markell, George Mason University – Psychology, 4400 University Drive, David King Hall 3077, Fairfax, VA 22030. E-mail: hannahmarkell96@gmail.com
References
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Cortina, J. M. (2003). Apples and oranges (and pears, oh my!): The search for moderators in meta-analysis. Organizational Research Methods, 6 (4), 415439.
Markell, H. M., Lei, X., & Foroughi, C. K. (April 2017). Restricted between-study variance in meta-analytic moderators. Symposium presented at the annual meeting for the Society for Industrial and Organizational Psychology, Orlando, FL.
Mosier, C. I. (1950). Review of difficulty prediction of test items. Journal of Applied Psychology, 34 (6), 452453.
Schmidt, F. L., & Hunter, J. E. (1977). Development of a general solution to the problem of validity generalization. Journal of Applied Psychology, 62 (5), 529540.
Schmidt, F. L., & Hunter, J. E. (2004). Methods of meta-analysis: Correcting error and bias in research findings. Newbury Park, CA: Sage.
Tett, R. P., Hundley, N., & Christiansen, N.D. (2017). Meta-analysis and the myth of generalizability. Industrial and Organizational Psychology: Perspectives on Science and Practice, 10 (3), 421456.
Wagner, J. A. (1995). Studies of individualism-collectivism: Effects on cooperation in groups. Academy of Management Journal, 38 (1), 152173.
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Industrial and Organizational Psychology
  • ISSN: 1754-9426
  • EISSN: 1754-9434
  • URL: /core/journals/industrial-and-organizational-psychology
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