Effect Sizes Based on Correlations

M. Borenstein, L. Hedges, J. Higgins, H. Rothstein
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引用次数: 37

Abstract

where n is the sample size. Most meta-analysts do not perform syntheses on the correlation coefficient itself because the variance depends strongly on the correlation. Rather, the correlation is converted to the Fisher’s z scale (not to be confused with the z-score used with significance tests), and all analyses are performed using the transformed values. The results, such as the summary effect and its confidence interval, would then be converted back to correlations for presentation. This is shown schematically in Figure 6.1, and is analogous to the procedure used with odds ratios or risk ratios where all analyses are performed using log transformed values, and then converted back to the original metric.
基于相关性的效应量
其中n是样本量。大多数元分析并不对相关系数本身进行综合,因为方差很大程度上取决于相关性。相反,相关性被转换为费雪z量表(不要与显著性检验使用的z分数混淆),所有分析都使用转换后的值执行。然后,结果(例如汇总效应及其置信区间)将被转换回相关性以供表示。如图6.1所示,它类似于使用比值比或风险比的过程,其中所有分析都使用对数转换值执行,然后转换回原始度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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