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Hypothesis test

多元回归的功效分析

多元回归的功效分析是一种研究前程序,由 Jacob Cohen (1988) 正式化,用于计算在具有足够统计功效的情况下检测给定大小回归效应所需的最小样本量。它使用预期的 R²(或等效的 Cohen's f² 效应量)和预测变量的数量来确定在数据收集开始之前必须收集多少观测值。

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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
  2. Green, S. B. (1991). How Many Subjects Does It Take To Do A Regression Analysis? Multivariate Behavioral Research, 26(3), 499–510. DOI: 10.1207/s15327906mbr2603_7

如何引用本页

ScholarGate. (2026, June 1). A Priori Power Analysis for Multiple Regression. ScholarGate. https://scholargate.app/zh/statistics/power-analysis-regression

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被引用于

ScholarGatePower Analysis for Regression (A Priori Power Analysis for Multiple Regression). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/power-analysis-regression · 数据集: https://doi.org/10.5281/zenodo.20539026