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麦克尼马尔检验×Cochran's Q 检验×
领域统计学统计学
方法族Hypothesis testHypothesis test
起源年份19471950
提出者Quinn McNemarWilliam G. Cochran
类型Nonparametric test for paired binary dataNonparametric proportions comparison
开创性文献McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. DOI ↗
别名McNemar chi-square test, test for correlated proportions, paired binary test, McNemar TestiCochran Q Testi, Cochran's Q, Q test for related proportions
相关54
摘要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.Cochran's Q test is a nonparametric hypothesis test introduced by William G. Cochran in 1950 for comparing proportions across three or more related binary measurements. It extends McNemar's test to the multiple-condition case and is the method of choice when every participant is observed under each condition and the outcome is recorded as a simple success/failure (1/0).
ScholarGate数据集
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ScholarGate方法对比: McNemar's test · Cochran Q Test. 于 2026-06-18 检索自 https://scholargate.app/zh/compare