Sammenlign metoder

	Fleiss' Kappa for samsvar mellom flere bedømmere	Cohens Kappa-koeffisient
Fagfelt	Statistikk	Statistikk
Familie	Hypothesis test	Hypothesis test
Opprinnelsesår	1971	1960
Opphavsperson	Joseph L. Fleiss	Jacob Cohen
Type	Non-parametric agreement measure	Inter-rater reliability coefficient
Opprinnelig kilde	Fleiss, J.L. (1971). Measuring Nominal Scale Agreement Among Many Raters. Psychological Bulletin, 76(5), 378–382.	Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46.
Alias	multi-rater kappa, Fleiss kappa, Fleiss' Kappa (Çoklu Değerlendirici Uyumu)	kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum)
Relaterte	2	3
Sammendrag	Fleiss' Kappa is a non-parametric statistic for measuring the degree of agreement among three or more raters who classify items into mutually exclusive nominal categories. Introduced by Joseph L. Fleiss in 1971 as a generalization of Cohen's Kappa beyond two raters, it corrects observed agreement for the level of agreement expected by chance alone, making it the standard reliability index in medical diagnosis studies, content analysis, and multi-coder research.	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.