Comparer des méthodes

	Coefficient Kappa de Cohen	Test de McNemar
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1960	1947
Auteur d'origine	Jacob Cohen	Quinn McNemar
Type	Inter-rater reliability coefficient	Nonparametric test for paired binary data
Source fondatrice	Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46.	McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157.
Alias	kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum)	McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
Apparentées	3	5
Résumé	Cohen's kappa (κ) is a statistical measure of inter-rater reliability for categorical classifications, introduced by Jacob Cohen in 1960. Unlike simple percent agreement, kappa corrects for the level of agreement that would be expected purely by chance, making it the standard metric when two raters independently assign observations to the same set of mutually exclusive categories.	McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes.