Generalized Cohen’s d for Multiple Means and Polytomous Settings




Metsämuuronen, Jari

PublisherSAGE

2026

 Applied Psychological Measurement

0146-6216

1552-3497

DOIhttps://doi.org/10.1177/01466216261416025

https://doi.org/10.1177/01466216261416025

https://research.utu.fi/converis/portal/detail/Publication/508393117



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.


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


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