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Hypothesis test

ANOVA 的功效分析

ANOVA 的功效分析是一种前瞻性统计技术,用于确定在选定的概率下检测特定组均值差异所需的最小样本量。该技术由 Jacob Cohen 在其 1988 年的专著中正式提出,它将研究者对效应量的预期(以 Cohen's f 表示)与期望的 I 类错误率(alpha)和统计功效(1 − beta)相结合,为单因素或多因素 ANOVA 设计提供具体的每组样本量建议。

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来源

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832

如何引用本页

ScholarGate. (2026, June 1). Statistical Power Analysis for Analysis of Variance. ScholarGate. https://scholargate.app/zh/statistics/power-analysis-anova

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被引用于

ScholarGatePower Analysis for ANOVA (Statistical Power Analysis for Analysis of Variance). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/power-analysis-anova · 数据集: https://doi.org/10.5281/zenodo.20539026