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Correcting for range restriction in meta-analysis: A reply to Oh et al. (2023)
Paul R Sackett1, Christopher M Berry2, Filip Lievens3
1Department of Psychology, University of Minnesota.
This response clarifies that correcting for range restriction is recommended when data is available, particularly in meta-analyses where applicant pool data is often missing. The authors maintain that significant range restriction is uncommon in meta-analytic studies.
Area of Science:
- Psychometrics
- Industrial-Organizational Psychology
- Research Methodology
Background:
- A previous article by Sackett et al. (2022) addressed range restriction corrections in concurrent validation studies.
- Oh et al. (2023) raised questions regarding the recommendations made in Sackett et al. (2022).
Purpose of the Study:
- To respond to critiques by Oh et al. (2023) concerning the application of range restriction corrections.
- To clarify the stance on correcting for range restriction, especially within meta-analytic contexts.
Main Methods:
- The authors re-emphasize their endorsement of range restriction correction when sufficient data is accessible.
- The response focuses on the practical challenges of obtaining necessary data for corrections in meta-analyses.
Main Results:
- The primary focus is on meta-analyses where information on the original applicant pool is frequently unavailable.
- The authors argue that situations with substantial range restriction are less common in meta-analyses than suggested.
Conclusions:
- Correction for range restriction is supported when feasible, but its absence in meta-analyses due to data limitations leads to only modest underestimates of validity.
- The authors maintain that significant range restriction is not the norm in the majority of studies contributing to meta-analyses.
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