1992/03/01 by Kenneth O. McGraw, Sumwai Wong · 2 citations
Computer Science · Psychology · Mathematics · #Advanced Statistical Modeling Techniques #Statistics #Statistic #Econometrics #Psychology #Mathematics #Computer science
paper · doi:10.1037/0033-2909.111.2.361
openalex publication_date 1992/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Some of the shortcomings in interpretability and generalizability of the effect size statistics currently available to researchers can be overcome by a statistic that expresses how often a score sampled from one distribution will be greater than a score sampled from another distribution. The statistic, the common language effect size indicator, is easily calculated from sample means and variances (or from proportions in the case of nominal-level data). It can be used for expressing the effect observed in both independent and related sample designs and in both 2-group and n-group designs