a Psychology Department , Lancaster University , Lancaster , UK.
Memory. 2013;21(7):832-42. doi: 10.1080/09658211.2013.763984. Epub 2013 Jan 25.
Effect sizes are omitted from many research articles and are rarely discussed. To help researchers evaluate effect sizes we collected values for the more commonly reported effect size measures (partial eta squared and d) from papers reporting memory research published in 2010. Cohen's small, medium, and large generic guideline values for d mapped neatly onto the observed distributions, but his values for partial eta squared were considerably lower than those observed in current memory research. We recommend interpreting effect sizes in the context of either domain-specific guideline values agreed for an area of research or the distribution of effect size estimates from published research in the domain. We provide cumulative frequency tables for both partial eta squared and d enabling authors to report and consider not only the absolute size of observed effects but also the percentage of reported effects that are larger or smaller than those observed.
许多研究论文都省略了效应量,且很少讨论效应量。为了帮助研究人员评估效应量,我们从 2010 年发表的记忆研究报告中收集了更常见的报告效应量测量值(部分 eta 平方和 d)。Cohen 的 d 的小、中、大通用指导值与观察到的分布吻合得很好,但他的部分 eta 平方值明显低于当前记忆研究中观察到的值。我们建议在研究领域内达成的特定领域指导值或该领域已发表研究的效应量估计分布的背景下解释效应量。我们为部分 eta 平方和 d 提供了累积频率表,使作者不仅能够报告和考虑观察到的效应的绝对大小,还能够报告和考虑报告的效应中有多少比观察到的效应大或小。