A RANDOM EFFECTS MODEL FOR EFFECT SIZES
A RANDOM EFFECTS MODEL FOR EFFECT SIZES
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DOI：
10.1037/0033-2909.93.2.388
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发表时间：
1983-01-01
影响因子：
22.4
通讯作者：
HEDGES, LV
中科院分区：
文献类型：
--
作者：
HEDGES, LV
最近对定量研究综合的兴趣导致了元分析中使用的一些方法的严格统计理论的发展。以前提出的统计理论强调估计固定但未知的群体效应大小（标准化平均差异）。理论上的考虑通常表明，治疗效果不是固定的，而是在治疗的不同实施方式中变化。本文作者提出了一个随机效应模型（类似于随机效应方差分析），其中的群体效应大小不是固定的，而是从可能的群体效应大小分布中实现的样本。一个类比方差分量估计是用来获得一个无偏估计的方差的效应大小分布。一个例子表明，这些方法可能会建议的见解，是无法从检查的平均值和标准偏差的效果大小估计。(13参考）（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
Recent interest in quantitative research synthesis has led to the development of rigorous statistical theory for some of the methods used in meta-analysis. Statistical theory proposed previously has stressed the estimation of fixed but unknown population effect sizes (standardized mean differences). Theoretical considerations often suggest that treatment effects are not fixed but vary across different implementations of a treatment. The present author presents a random effects model (analogous to random effects ANOVA) in which the population effect sizes are not fixed but are sample realizations from a distribution of possible population effect sizes. An analogy to variance component estimation is used to derive an unbiased estimator of the variance of the effect-size distribution. An example shows that these methods may suggest insights that are not available from inspection of means and standard deviation of effect-size estimates.(13 ref)(PsycINFO Database Record (c) 2016 APA, all rights reserved)