Abstract
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
Keywords
StatisticsStatisticEconometricsPsychologyMathematicsComputer science
Affiliated Institutions
Related Publications
Correcting a Significance Test for Clustering
A common mistake in analysis of cluster randomized trials is to ignore the effect of clustering and analyze the data as if each treatment group were a simple random sample. This...
Bootstrap Methods in Econometrics: Theory and Numerical Performance
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one's data. It amounts to treating the data as if they were the populat...
Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis
Preface. About this Book 1. Introduction to The New Statistics 2. From Null Hypothesis Significance Testing to Effect Sizes 3. Confidence Intervals 4. Confidence Intervals, Erro...
Sample Sizes Based on the Log-Rank Statistic in Complex Clinical Trials
The log-rank test is frequently used to compare survival curves. While sample size estimation for comparison of binomial proportions has been adapted to typical clinical trial c...
Bayesian Inference in Statistical Analysis.
Nature of Bayesian Inference Standard Normal Theory Inference Problems Bayesian Assessment of Assumptions: Effect of Non-Normality on Inferences About a Population Mean with Gen...
Publication Info
- Year
- 1992
- Type
- article
- Volume
- 111
- Issue
- 2
- Pages
- 361-365
- Citations
- 850
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
850
OpenAlex
82
Influential
670
CrossRef
Cite This
Kenneth O. McGraw,
Sumwai Wong
(1992).
A common language effect size statistic..
Psychological Bulletin
, 111
(2)
, 361-365.
https://doi.org/10.1037/0033-2909.111.2.361
Identifiers
- DOI
- 10.1037/0033-2909.111.2.361