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Cochran's Q 检验×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19501947
提出者William G. CochranQuinn McNemar
类型Nonparametric proportions comparisonNonparametric test for paired binary data
开创性文献Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. 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Cochran Q Testi, Cochran's Q, Q test for related proportionsMcNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
相关45
摘要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).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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  1. v1
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ScholarGate方法对比: Cochran Q Test · McNemar's test. 于 2026-06-18 检索自 https://scholargate.app/zh/compare