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使用 G*Power 3.1 进行统计功效分析:相关和回归分析的检验。

Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

机构信息

Christian-Albrechts-Universität, Kiel, Germany.

出版信息

Behav Res Methods. 2009 Nov;41(4):1149-60. doi: 10.3758/BRM.41.4.1149.


DOI:10.3758/BRM.41.4.1149
PMID:19897823
Abstract

G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.

摘要

G*Power 是一款免费的用于各种统计检验的功效分析程序。我们对 Faul、Erdfelder、Lang 和 Buchner(2007)引入的版本在相关和回归分析领域进行了扩展和改进。在新版本中,我们添加了基于以下内容分析检验功效的过程:(1)单一样本四分相关,(2)相关比较,(3)双变量线性回归,(4)基于随机预测模型的多元线性回归,(5)逻辑回归,以及(6)泊松回归。我们将介绍这些新功能,并简要介绍其范围和使用方法。

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