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The Meta-Analysis of Clinical Judgment Project: Fifty-Six Years of Accumulated Research on Clinical Versus Statistical Prediction

Michael J. White

Paul M. Spengler

Alan S. Maugherman

Linda A. Anderson

the University Counseling and Psychological Services, Oregon State University

Robert S. Cook

Cassandra N. Nichols

Counseling and Testing Services, Washington State University

Georgios K. Lampropoulos

Blain S. Walker

Tripler Army Medical Center, Honolulu, Hawaii

Genna Cohen

Jeffrey D. Rush

Ball State University

Clinical predictions made by mental health practitioners are compared with those using statistical approaches. Sixty-seven studies were identified from a comprehensive search of 56 years of research; 92 effect sizes were derived from these studies. The overall effect of clinical versus statistical prediction showed a somewhat greater accuracy for statistical methods. The most stringent sample of studies, from which 48 effect sizes were extracted, indicated a 13% increase in accuracy using statistical versus clinical methods. Several variables influenced this overall effect. Clinical and statistical prediction accuracy varied by type of prediction, the setting in which predictor data were gathered, the type of statistical formula used, and the amount of information available to the clinicians and the formulas. Recommendations are provided about when and under what conditions counseling psychologists might use statistical formulas as well as when they can rely on clinical methods. Implications for clinical judgment research and training are discussed.

The Counseling Psychologist, Vol. 34, No. 3, 341-382 (2006)
DOI: 10.1177/0011000005285875


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