A1 Refereed original research article in a scientific journal
Generalized Cohen’s d for Multiple Means and Polytomous Settings
Authors: Metsämuuronen, Jari
Publisher: SAGE
Publication year: 2026
Journal: Applied Psychological Measurement
ISSN: 0146-6216
eISSN: 1552-3497
DOI: https://doi.org/10.1177/01466216261416025
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Partially Open Access publication channel
Web address : https://doi.org/10.1177/01466216261416025
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/508393117
Self-archived copy's licence: CC BY
Self-archived copy's version: Publisher`s PDF
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).