The power of statistical tests in meta-analysis

Larry V. Hedges*, Therese D. Pigott

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

451 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)203-217
Number of pages15
JournalPsychological methods
Volume6
Issue number4
DOIs
StatePublished - Sep 2001

ASJC Scopus subject areas

  • Psychology (miscellaneous)

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