Measures of discrimination skill in probabilistic judgment

Ilan Yaniv*, J. Frank Yates, J. E. Keith Smith

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

123 Scopus citations


People's ability to assess probabilities of various events has been the topic of much interest in the areas of judgment, prediction, decision making, and memory. The evaluation of probabilistic judgments, however, raises interesting logical questions as to what it means to be a "good" judge. In this article, we focus on a normative concept of probabilistic accuracy that we call discrimination and present a measure of a judge's discrimination skill. This measure builds on an earlier index (Murphy, 1973) and has the advantages that (a) it can be interpreted as the percentage of variance accounted for by the judge and (b) it is unbiased. By way of deriving this new discrimination measure, we also show that it is related to Pearson's chi-square statistic, a result which may be useful in the future development of hypothesis testing and estimation procedures.

Original languageAmerican English
Pages (from-to)611-617
Number of pages7
JournalPsychological Bulletin
Issue number3
StatePublished - 1991
Externally publishedYes


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