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A comment on sampling error in the standardized mean difference with unequal sample sizes: Avoiding potential errors in meta-analytic and primary research

机译:关于样本大小不相等的标准化均值差中的抽样误差的评论:避免荟萃分析和基础研究中的潜在误差

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摘要

The authors discuss potential confusion in conducting primary studies and meta-analyses on the basis of differences between groups. First, the authors show that a formula for the sampling error of the standardized mean difference (d) that is based on equal group sample sizes can produce substantially biased results if applied with markedly unequal group sizes. Second, the authors show that the same concerns are present when primary analyses or meta-analyses are conducted with point-biserial correlations, as the point-biserial correlation (r) is a transformation of d. Third, the authors examine the practice of correcting a point-biserial r for unequal sample sizes and note that such correction would also increase the sampling error of the corrected r. Correcting rs for unequal sample sizes, but using the standard formula for sampling error in uncorrected r, can result in bias. The authors offer a set of recommendations for conducting meta-analyses of group differences.
机译:作者讨论了在进行初等研究和荟萃分析时可能存在的混淆,这是基于群体之间的差异而进行的。首先,作者表明,如果使用明显不相等的组大小,基于相等组样本大小的标准化均值差(d)的抽样误差公式可能会产生明显的偏差结果。第二,作者表明,当使用点-二元相关性进行初次分析或荟萃分析时,存在相同的问题,因为点-二元相关性(r)是d的变换。第三,作者研究了针对不相等样本大小校正点双数r的实践,并注意到这种校正还会增加校正后r的采样误差。将rs校正为不相等的样本大小,但使用标准公式计算未校正的r中的采样误差会导致偏差。作者为进行群体差异的荟萃分析提供了一组建议。

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