ScholarGate
助手
Hypothesis test

皮尔逊相关系数的统计功效分析

相关功效分析是在研究前进行的计算,用于确定皮尔逊相关检验所需的参与者数量——或现有样本提供的统计功效——。该方法由雅各布·科恩在其里程碑式的1988年著作中正式提出,它直接使用预期的相关系数r作为效应量,以便研究人员能够规划既不过于低功效也不至于浪费性地庞大的研究。

用 StatMind 应用即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

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 Pearson Correlation. ScholarGate. https://scholargate.app/zh/statistics/power-analysis-correlation

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.

Compare side by side

被引用于

ScholarGateCorrelation Power Analysis (Statistical Power Analysis for Pearson Correlation). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/power-analysis-correlation · 数据集: https://doi.org/10.5281/zenodo.20539026