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Fleiss Kappa多评分者一致性系数×麦克尼马尔检验×
领域统计学统计学
方法族Hypothesis testHypothesis test
起源年份19711947
提出者Joseph L. FleissQuinn McNemar
类型Non-parametric agreement measureNonparametric test for paired binary data
开创性文献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 ↗
别名multi-rater kappa, Fleiss kappa, Fleiss' Kappa (Çoklu Değerlendirici Uyumu)McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
相关25
摘要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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ScholarGate方法对比: Fleiss' Kappa · McNemar's test. 于 2026-06-19 检索自 https://scholargate.app/zh/compare