作　　者： ; ; ;

机构地区： 华南师范大学教育科学学院心理应用研究中心

出　　处： 《心理科学进展》 2011年第12期1868-1878,共11页

摘　　要： 效应量在量化方面弥补了零假设检验的不足。除了报告检验结果外,许多期刊还要求在研究报告中包括效应量。效应量可以分为三大类别:差异类、相关类和组重叠类,它们在不同的研究设计(如单因素和多因素被试间、被试内和混合实验设计)或在不同的数据条件下(如小样本、方差异质等)可能有不同的计算方法和用法,但许多效应量可以相互转换。我们梳理出一个表格有助应用工作者根据研究目的和研究类型选用合适的效应量。 Effect sizes are important supplement of the null hypothesis significance testing. More and more academic journals request authors provide the effect sizes of their researches. Our purpose is to provide a guideline on how to compute the appropriate effect sizes of different researches and data types. We classified the effect sizes into three types, including difference-type, correlation-type and group-overlap. For each type of the effect sizes, there are different approaches of calculations and applications under different research designs （e.g., single-factor/multifactor between-subjects, single-factor/multifactor wi（hin-subjects） and data conditions （e.g., small sample size, heterogeneity of variance）. Many effect sizes, however, can be transformed from one type to another. We summarized a table that may help readers to choose appropriate effect sizes for their researches based on the research purposes and research designs.

关 键 词： 效应量 差异 相关 组重叠

领　　域： [哲学宗教] [哲学宗教]