Sánchez-Meca Julio, Marín-Martínez Fulgencio, Chacón-Moscoso Salvador
U Murcia, Dept of Basic Psychology & Methodology, Faculty of Psychology, Murcia, Spain.
Psychol Methods. 2003 Dec;8(4):448-67. doi: 10.1037/1082-989X.8.4.448.
It is very common to find meta-analyses in which some of the studies compare 2 groups on continuous dependent variables and others compare groups on dichotomized variables. Integrating all of them in a meta-analysis requires an effect-size index in the same metric that can be applied to both types of outcomes. In this article, the performance in terms of bias and sampling variance of 7 different effect-size indices for estimating the population standardized mean difference from a 2 x 2 table is examined by Monte Carlo simulation, assuming normal and nonnormal distributions. The results show good performance for 2 indices, one based on the probit transformation and the other based on the logistic distribution.
在荟萃分析中，经常会发现一些研究在连续因变量上比较两组，而另一些研究则在二分变量上比较组间差异。要将所有这些研究纳入荟萃分析，就需要一个统一的效应量指标，该指标应能适用于这两种类型的结果。本文通过蒙特卡洛模拟，在假设正态分布和非正态分布的情况下，检验了用于从2×2表估计总体标准化均数差的7种不同效应量指标在偏差和抽样方差方面的表现。结果表明，有两种指标表现良好，一种基于概率单位变换，另一种基于逻辑分布。
