教育研究中元分析的挑战与机遇

Nathaniel Hansford, Rachel E Schechter
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引用次数: 0

摘要

荟萃分析是使用定量方法找到干预措施的平均效应大小(标准化平均差异)的研究的系统总结。批评荟萃分析的人指出,这种分析可能会混淆低质量研究和高质量研究的结果,进行不适当的比较,并导致统计噪声。所有这些批评都适用于低质量的荟萃分析。然而,高质量的荟萃分析纠正了所有这些问题。荟萃分析的批评者经常建议选择高质量的随机对照试验是一种更有效的方法。然而,即使在控制了所有因素的情况下,教育随机对照试验也没有显示出一致的结果。教育是一门社会科学,变化是不可避免的。试图选择最佳随机对照试验的学者可能会选择证实其偏见的随机对照试验。高质量的荟萃分析为确定教育中的最佳实践提供了一个更加透明和严格的模型。虽然元分析并非没有局限性,但它们是评估教育教学法和项目的最佳工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges and Opportunities of Meta-Analysis in Education Research
Meta-analyses are systematic summaries of research that use quantitative methods to find the mean effect size (standardized mean difference) for interventions. Critics of meta-analysis point out that such analyses can conflate the results of low- and high-quality studies, make improper comparisons and result in statistical noise. All these criticisms are valid for low-quality meta-analyses. However, high-quality meta-analyses correct all these problems. Critics of meta-analysis often suggest that selecting high-quality RCTs is a more valid methodology. However, education RCTs do not show consistent findings, even when all factors are controlled. Education is a social science, and variability is inevitable. Scholars who try to select the best RCTs will likely select RCTs that confirm their bias. High-quality meta-analyses offer a more transparent and rigorous model for determining best practices in education. While meta-analyses are not without limitations, they are the best tool for evaluating educational pedagogies and programs.
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