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另一半的故事:定量研究中的效应量分析。

The other half of the story: effect size analysis in quantitative research.

机构信息

Department of Plant Biology, Michigan State University, East Lansing, MI 48824-1312, USA.

出版信息

CBE Life Sci Educ. 2013 Fall;12(3):345-51. doi: 10.1187/cbe.13-04-0082.

Abstract

Statistical significance testing is the cornerstone of quantitative research, but studies that fail to report measures of effect size are potentially missing a robust part of the analysis. We provide a rationale for why effect size measures should be included in quantitative discipline-based education research. Examples from both biological and educational research demonstrate the utility of effect size for evaluating practical significance. We also provide details about some effect size indices that are paired with common statistical significance tests used in educational research and offer general suggestions for interpreting effect size measures. Finally, we discuss some inherent limitations of effect size measures and provide further recommendations about reporting confidence intervals.

摘要

统计显著性检验是定量研究的基石,但未能报告效应量度量的研究可能会遗漏分析的一个重要部分。我们提供了一个理由,说明为什么应该在定量学科教育研究中包括效应量度量。来自生物和教育研究的例子展示了效应量对于评估实际意义的效用。我们还提供了一些与教育研究中常用的统计显著性检验配对的效应量指标的详细信息,并提供了解释效应量度量的一般建议。最后,我们讨论了效应量度量的一些固有局限性,并提供了有关报告置信区间的进一步建议。

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