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相关性数据元分析中部分效应量的实证研究。

An empirical investigation of partial effect sizes in meta-analysis of correlational data.

作者信息

Aloe Ariel M

机构信息

a University of Northern Iowa.

出版信息

J Gen Psychol. 2014;141(1):47-64. doi: 10.1080/00221309.2013.853021.

DOI:10.1080/00221309.2013.853021
PMID:24838020
Abstract

The partial correlation and the semi-partial correlation can be seen as measures of partial effect sizes for the correlational family. Thus, both indices have been used in the meta-analysis literature to represent the relationship between an outcome and a predictor of interest, controlling for the effect of other variables in the model. This article evaluates the accuracy of synthesizing these two indices under different situations. Both partial correlation and the semi-partial correlation appear to behave as expected with respect to bias and root mean squared error (RMSE). However, the partial correlation seems to outperform the semi-partial correlation regarding Type I error of the homogeneity test (Q statistic). Although further investigation is needed to fully understand the impact of meta-analyzing partial effect sizes, the current study demonstrates the accuracy of both indices.

摘要

偏相关和半偏相关可被视为相关系数族中偏效应大小的度量。因此,在元分析文献中,这两个指标都被用于表示结果与感兴趣的预测变量之间的关系,同时控制模型中其他变量的影响。本文评估了在不同情况下综合这两个指标的准确性。偏相关和半偏相关在偏差和均方根误差(RMSE)方面的表现似乎都符合预期。然而,在同质性检验的I型错误(Q统计量)方面,偏相关似乎优于半偏相关。尽管需要进一步研究以全面了解对偏效应大小进行元分析的影响,但当前研究证明了这两个指标的准确性。

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