Hypothesis testClassical statistics
功效分析
功效分析是一种规划和评估技术，用于量化在选定的显著性水平下检测给定幅度真实效应的概率。它将四个量——样本量、效应量、显著性水平（alpha）和统计功效（1减去beta）——联系起来，以便研究人员在数据收集前确定所需的样本量，或评估已完成研究的敏感性。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
- Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. DOI: 10.3758/BF03193146 ↗
如何引用本页
ScholarGate. (2026, June 3). Statistical Power Analysis. ScholarGate. https://scholargate.app/zh/statistics/power-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 贝叶斯功效分析（保证值）统计学↔ compare
- 卡方独立性检验统计学↔ compare
- 效应量分析统计学↔ compare
- 独立样本 t 检验统计学↔ compare
- 单因素方差分析统计学↔ compare