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比例检验的功效分析×ANOVA 的功效分析×
领域统计学统计学
方法族Hypothesis testHypothesis test
起源年份19881988
提出者Jacob CohenJacob Cohen
类型Sample size determinationSample size determination
开创性文献Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
别名proportion power analysis, two-proportion z-test power, z-test for proportions power, Oran Testi Güç AnaliziANOVA power analysis, F-test power analysis, sample size for ANOVA, Güç Analizi — ANOVA
相关34
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.Power analysis for ANOVA is a prospective statistical technique that determines the minimum sample size needed to detect a specified group mean difference with a chosen probability. Formalized by Jacob Cohen in his 1988 monograph, it translates a researcher's effect size expectation — expressed as Cohen's f — along with the desired Type I error rate (alpha) and statistical power (1 − beta) into a concrete per-group sample size recommendation for one-way or factorial ANOVA designs.
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ScholarGate方法对比: Power Analysis for Proportions · Power Analysis for ANOVA. 于 2026-06-18 检索自 https://scholargate.app/zh/compare