Effect Sizes Why, When, and How to Use Them
Effect Sizes Why, When, and How to Use Them
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DOI：
10.1027/0044-3409.217.1.6
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发表时间：
2009
影响因子：
1.8
通讯作者：
R. L. Rosnow;R. Rosenthal
中科院分区：
文献类型：
--
作者：
R. L. Rosnow;R. Rosenthal
效应大小是研究结果或研究发现的大小，例如自变量和因变量之间关系的强度。这里抽样了两种类型的ES指标：差异型指标和关联型指标(ORR型)。两者都非常适合于有两组或两种情况的情况，而与重点统计程序(对比)结合使用的TH型，也适用于有两组以上或两种情况并且有预测的总体模式要评估的情况。还讨论了计算可信区间和零计数区间的程序，以及比较和合并以对比权重和ES指标形式表示的竞争性预测的系统方法。
The effect size (ES) is the magnitude of a study outcome or research finding, such as the strength of the relationship obtained between an independent variable and a dependent variable. Two types of ES indicators are sampled here: the difference-type and the correlational (orr-type). Both are well suited to situations in which there are two groups or two conditions, whereas ther-type, used in association with focused statistical procedures (contrasts), is also ideal in situations where there are more than two groups or conditions and there are predicted overall patterns to be evaluated. Also discussed are procedures for computing confidence intervals and null-counternull intervals as well as a systematic approach to comparing and combining competing predictions expressed in the form of contrast weights and ES indicators.