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Generalized Cohen’s d for Multiple Means and Polytomous Settings
Tekijät: Metsämuuronen, Jari
Kustantaja: SAGE
Julkaisuvuosi: 2026
Lehti: Applied Psychological Measurement
ISSN: 0146-6216
eISSN: 1552-3497
DOI: https://doi.org/10.1177/01466216261416025
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Osittain avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1177/01466216261416025
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/508393117
Rinnakkaistallenteen lisenssi: CC BY
Rinnakkaistallennetun julkaisun versio: Kustantajan versio
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. |
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The study is funded by the Research Council of Finland (EDUCA Flagship #358924, #358947).