Rosenthal, RobertRubin, Donald2014-02-191989Rosenthal, Robert. 1989. "Effect Size Estimation for One-Sample Multiple-Choice-Type Data: Design, Analysis, and Meta-Analysis." Psychological Bulletin 106, No. 2: 332-337.0033-2909http://nrs.harvard.edu/urn-3:HUL.InstRepos:11718223This 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.en-USJournal Article2014-01-29Rosenthal, Robert10.1037//0033-2909.106.2.332