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Probability of the Superior Outcome of One Treatment Over Another

Probability of the Superior Outcome of One Treatment Over Another An intuitively appealing indicator of magnitude of effect in applied research is an estimate of the probability of the superior outcome of one treatment over another. Parametric and nonparametric estimates are discussed, as is a meta-analytic estimate. Estimates from values of t, the point-biserial correlation, and standardized effect size are presented. A new perspective on J. Cohen's (1988) standards for small, medium, and large effect sizes is provided. Psychologists who are conducting applied primary research or meta-analyses are urged to include such estimation in their reports. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Psychology American Psychological Association

Probability of the Superior Outcome of One Treatment Over Another

Grissom, Robert J.
Journal of Applied Psychology , Volume 79 (2): 3 – Apr 1, 1994
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Publisher
American Psychological Association
Copyright
Copyright © 1994 American Psychological Association
ISSN
0021-9010
eISSN
1939-1854
DOI
10.1037/0021-9010.79.2.314
Publisher site
See Article on Publisher Site

Abstract

An intuitively appealing indicator of magnitude of effect in applied research is an estimate of the probability of the superior outcome of one treatment over another. Parametric and nonparametric estimates are discussed, as is a meta-analytic estimate. Estimates from values of t, the point-biserial correlation, and standardized effect size are presented. A new perspective on J. Cohen's (1988) standards for small, medium, and large effect sizes is provided. Psychologists who are conducting applied primary research or meta-analyses are urged to include such estimation in their reports.

Journal

Journal of Applied Psychology – American Psychological Association

Published: Apr 1, 1994

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