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皮尔逊卡方独立性检验×Cramer's V×麦克尼马尔检验×
领域统计学统计学统计学
方法族Hypothesis testHypothesis testHypothesis test
起源年份190019461947
提出者Karl PearsonHarald CramérQuinn McNemar
类型Nonparametric association / goodness-of-fitNonparametric association measureNonparametric test for paired binary data
开创性文献Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables. Philosophical Magazine, Series 5, 50(302), 157–175. link ↗Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press. ISBN: 978-0691080420McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗
别名chi-squared test, χ² test, Ki-Kare Testi, chi-square testcramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti)McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
相关335
摘要The chi-square test of independence is a nonparametric hypothesis test that determines whether two categorical variables are statistically associated or independent of one another. Introduced by Karl Pearson in 1900, it remains the standard procedure for analysing contingency tables and requires no assumption of normality — only that observations are independent and that expected cell frequencies are sufficiently large.Cramer's V is a nonparametric effect-size statistic that measures the strength of association between two categorical variables on a scale from 0 to 1. Introduced by the Swedish mathematician Harald Cramér in his 1946 work Mathematical Methods of Statistics, it generalises the phi coefficient to tables of any size, making it the standard companion statistic to the chi-square test.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: Chi-square goodness-of-fit test · Cramer's V · McNemar's test. 于 2026-06-19 检索自 https://scholargate.app/zh/compare