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The power of statistical tests in meta-analysis.
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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.