A1 Refereed original research article in a scientific journal

Generalized Cohen’s d for Multiple Means and Polytomous Settings




AuthorsMetsämuuronen, Jari

PublisherSAGE

Publication year2026

Journal: Applied Psychological Measurement

ISSN0146-6216

eISSN1552-3497

DOIhttps://doi.org/10.1177/01466216261416025

Publication's open availability at the time of reportingOpen Access

Publication channel's open availability Partially Open Access publication channel

Web address https://doi.org/10.1177/01466216261416025

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/508393117

Self-archived copy's licenceCC BY

Self-archived copy's versionPublisher`s PDF


Abstract

Cohen’s d is the most commonly used estimator to quantify the magnitude of the difference between the means of two subpopulations. When comparing multiple populations simultaneously, Cohen’s f can be used for the same purpose. Using their relationship in the dichotomous setting, several general formulas for d are derived that generalize d to the polytomous setting. The traditional simplified estimator d = 2f is studied as a shortcut estimator. It is strongly recommended to use the general formulas instead of the simplified ones when assessing the magnitude of the effect size, especially when the discrepancy of the extreme proportions of cases in the subpopulations exceeds 0.40.


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Funding information in the publication
The study is funded by the Research Council of Finland (EDUCA Flagship #358924, #358947).


Last updated on 21/01/2026 12:00:25 PM