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Generalized Cohen’s d for Multiple Means and Polytomous Settings




TekijätMetsämuuronen, Jari

KustantajaSAGE

Julkaisuvuosi2026

Lehti: Applied Psychological Measurement

ISSN0146-6216

eISSN1552-3497

DOIhttps://doi.org/10.1177/01466216261416025

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Julkaisukanavan avoimuus Osittain avoin julkaisukanava

Verkko-osoitehttps://doi.org/10.1177/01466216261416025

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/508393117

Rinnakkaistallenteen lisenssiCC BY

Rinnakkaistallennetun julkaisun versioKustantajan versio


Tiivistelmä

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.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Julkaisussa olevat rahoitustiedot
The study is funded by the Research Council of Finland (EDUCA Flagship #358924, #358947).


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