Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs
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DOI：
10.1037//1082-989x.7.1.105
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发表时间：
2002-03-01
影响因子：
7
通讯作者：
DeShon, RP
中科院分区：
文献类型：
--
作者：
Morris, SB;DeShon, RP
当对实验研究结果进行荟萃分析时，必须考虑研究设计的差异。跨独立组和重复测量设计的结果相结合的方法进行了描述，并在这种分析是适当的条件下进行了讨论。将设计间的结果合并需要：（a）将所有效应量转换为通用指标，（B）每个设计的效应量估计相同的治疗效应，（c）荟萃分析程序使用设计特定的抽样方差估计值来反映效应量估计值的精度。
When a meta-analysis on results from experimental studies is conducted, differences in the study design must be taken into consideration. A method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed. Combining results across designs requires that (a) all effect sizes be transformed into a common metric, (b) effect sizes from each design estimate the same treatment effect, and (c) meta-analysis procedures use design-specific estimates of sampling variance to reflect the precision of the effect size estimates.