Dichotomization of continuous variables: The implications for meta-analysis.
Abstract
In many studies included in meta-analyses, the independent variable measure, the dependent variable measure, or both, have been artificially dichotomized, attenuating the correlation from its true value and resulting in (a) a downward distortion in the mean correlation and (b) an upward distortion in the apparent real variation of correlations across studies. We present (a) exact corrections for this distortion for the case in which only one of the variables has been dichotomized and (b) methods for making approximate corrections when both variables have been artificially dichotomized
Cites (1)
- Methods of Meta-Analysis: Correcting Error and Bias in Research FindingsSchmidt, Frank L., Hunter, John E. · 2015
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Dichotomization of continuous variables: The implications for meta-analysis. https://app.cochat.ai/papers/10.1037//0021-9010.75.3.334
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- Hunter, J. E., & Schmidt, F. L. (1990). Dichotomization of continuous variables: The implications for meta-analysis. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.75.3.334
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