Comparer des méthodes

	Corrélation de rang Tau de Kendall	Analyse de la taille d'effet
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1938	1969 (first edition); 1988 (definitive second edition)
Auteur d'origine	Maurice G. Kendall	Jacob Cohen
Type	Nonparametric rank correlation	Standardized magnitude estimation
Source fondatrice	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
Alias	Kendall tau, Kendall rank correlation, tau-b, tau-c	effect magnitude estimation, standardized effect measure, practical significance analysis, ES analysis
Apparentées	4	4
Résumé	Kendall's tau is a nonparametric measure of the ordinal association between two variables. It quantifies how consistently the relative ordering of one variable matches the ordering of another across all observation pairs, making it robust to outliers and suitable for ordinal or non-normally distributed data.	Effect size analysis quantifies the practical magnitude of a statistical result independently of sample size. Rather than asking only whether a difference or relationship is statistically significant, it asks how large it is, using standardized indices such as Cohen's d, eta-squared, omega-squared, or Pearson's r that allow direct comparison across studies and populations.