The power of statistical tests in meta-analysis

被引：536
|
作者：
Hedges, LV
Pigott, TD
机构：
[1] Univ Chicago, Dept Educ, Chicago, IL 60637 USA
[2] Loyola Univ, Sch Educ, Chicago, IL 60611 USA
来源：
PSYCHOLOGICAL METHODS | 2001年 / 6卷 / 03期
关键词：
D O I：
10.1037/1082-989X.6.3.203
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
Calculations of the power of statistical tests are important in planning research studies (including meta-analyses) and in interpreting situations in which a result has not proven to be statistically significant. The authors describe procedures to compute statistical power of fixed- and random-effects tests of the mean effect size, tests for heterogeneity (or variation) of effect size parameters across studies, and tests for contrasts among effect sizes of different studies. Examples are given using 2 published meta-analyses. The examples illustrate that statistical power is not always high in meta-analysis.
引用
收藏
页码：203 / 217
页数：15
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