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A Robust Effect Size Index
2020
Psychometrika
Effect size indices are useful tools in study design and reporting because they are unitless measures of association strength that do not depend on sample size. Existing effect size indices are developed for particular parametric models or population parameters. Here, we propose a robust effect size index based on M-estimators. This approach yields an index that is very generalizable because it is unitless across a wide range of models. We demonstrate that the new index is a function of Cohen's
doi:10.1007/s11336-020-09698-2
pmid:32232646
fatcat:b3nrdc3l5fblhn5jex2e2c7jme