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| Fleiss' Kappa für die Übereinstimmung mehrerer Beurteiler× | McNemar-Test× | |
|---|---|---|
| Fachgebiet | Statistik | Statistik |
| Familie | Hypothesis test | Hypothesis test |
| Entstehungsjahr≠ | 1971 | 1947 |
| Urheber≠ | Joseph L. Fleiss | Quinn McNemar |
| Typ≠ | Non-parametric agreement measure | Nonparametric test for paired binary data |
| Wegweisende Quelle≠ | Fleiss, J.L. (1971). Measuring Nominal Scale Agreement Among Many Raters. Psychological Bulletin, 76(5), 378–382. DOI ↗ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗ |
| Aliasnamen≠ | multi-rater kappa, Fleiss kappa, Fleiss' Kappa (Çoklu Değerlendirici Uyumu) | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi |
| Verwandt≠ | 2 | 5 |
| Zusammenfassung≠ | 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. | 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. |
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