Combining independent p values:: Extensions of the Stouffer and binomial methods

被引:41
作者
Darlington, RB [1 ]
Hayes, AF
机构
[1] Cornell Univ, Dept Psychol, Ithaca, NY 14853 USA
[2] Dartmouth Coll, Dept Psychol & Brain Sci, Hanover, NH 03755 USA
[3] Dartmouth Coll, Amos Tuck Sch Business Adm, Hanover, NH 03755 USA
关键词
D O I
10.1037/1082-989X.5.4.496
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The Stouffer z method, and other popular methods for combining p values from independent significance tests, suffer from three problems: vulnerability to criticisms of the individual studies being pooled, difficulty in handling the "file drawer problem," and vague conclusions. These problems can be reduced or eliminated by supplementing a test of combined probability with a variety of new analyses described here. Along with other advantages, these analyses provide a way to address the file drawer problem without malting limiting assumptions about the nature of studies not included in the pooled analysis. These analyses can supplement a traditional meta-analysis, yielding conclusions not provided by widely used metaanalytic procedures.
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页码:496 / 515
页数:20
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