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领域统计学统计学
方法族Hypothesis testRegression model
起源年份19881988
提出者Jacob CohenClassical exact test; textbook treatment by Siegel & Castellan
类型Sample size determinationExact one-sample test for a proportion
开创性文献Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗Siegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences (2nd ed.). McGraw-Hill. ISBN: 978-0070573574
别名proportion power analysis, two-proportion z-test power, z-test for proportions power, Oran Testi Güç Analiziexact binomial test, binomial probability test, exact test for a proportion, Tam Binom Testi
相关32
摘要Power analysis for proportion tests is a prospective sample-size planning method used to determine how many participants are needed to detect a meaningful difference between two (or one) proportions with a specified probability. Formalised by Jacob Cohen in his 1988 landmark text, it applies the arcsine transformation to convert proportions into the effect-size index h, enabling direct calculation of the required sample size.The exact binomial test checks whether the observed number of successes in a fixed number of independent trials is consistent with a pre-specified success probability p₀. Because it computes exact binomial tail probabilities rather than relying on a normal approximation, it is the gold standard for testing a proportion in small samples; this two-sided formulation follows Siegel & Castellan's classic treatment (1988).
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ScholarGate方法对比: Power Analysis for Proportions · Binomial Test. 于 2026-06-17 检索自 https://scholargate.app/zh/compare