Effect Size Estimation for One-Sample Multiple-Choice-Type Data: Design, Analysis, and Meta-Analysis

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Effect Size Estimation for One-Sample Multiple-Choice-Type Data: Design, Analysis, and Meta-Analysis

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Title: Effect Size Estimation for One-Sample Multiple-Choice-Type Data: Design, Analysis, and Meta-Analysis
Author: Rosenthal, Robert; Rubin, Donald B.

Note: Order does not necessarily reflect citation order of authors.

Citation: Rosenthal, Robert. 1989. "Effect Size Estimation for One-Sample Multiple-Choice-Type Data: Design, Analysis, and Meta-Analysis." Psychological Bulletin 106, No. 2: 332-337.
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Abstract: This article proposes a standard, easy-to-interpret effect size estimate for one-sample research. The proportion index (*•) shows the hit rate on a scale on which .50 is always the null value regardless of the number of equally likely choices. The index r is useful in the design of one-sample research because it can guide the best choice of number of response alternatives. Significance tests and confidence limits are readily computed. For meta-analyses of one-sample studies, tests of heterogeneity of a set of TS and contrasts among them are described.
Published Version: 10.1037//0033-2909.106.2.332
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11718223
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