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
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Publication Info
- Year
- 1992
- Type
- article
- Volume
- 111
- Issue
- 2
- Pages
- 361-365
- Citations
- 850
- Access
- Closed
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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