Effect Size Estimates: Current Use, Calculations, and Interpretation
Effect Size Estimates: Current Use, Calculations, and Interpretation
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DOI：
10.1037/a0024338
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发表时间：
2012-02-01
影响因子：
4.1
通讯作者：
Richler, Jennifer J.
中科院分区：
文献类型：
--
作者：
Fritz, Catherine O.;Morris, Peter E.;Richler, Jennifer J.
美国心理学会出版手册（American Psychological Association，2001，2010）要求报告效应量及其置信区间。效应量的估计对于确定效应的实际或理论重要性、因素的相对贡献以及分析的功效非常有用。我们调查了2009年和2010年发表在《实验心理学杂志：总论》上的文章，注意到报道的统计分析和相关的效应量估计报告。不到一半的分析报告了效应量;没有文章报告效应量的置信区间。最常报告的分析是方差分析，这些报告中几乎有一半没有伴随效应量。偏eta（2）是方差分析中最常报告的效应量估计值。对于t检验，2/3的文章没有报告相关效应量估计; Cohen's d是最常报告的。我们为理解、选择、计算和解释多种类型数据的效应量以及计算效应量置信区间和功效分析的方法提供了一个简单的指南。
The Publication Manual of the American Psychological Association (American Psychological Association, 2001, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial eta(2) was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.