Advances in Meta-Analysis pp 55-66 | Cite as

# Power for the Test of Homogeneity in Fixed and Random Effects Models

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## Abstract

This chapter will illustrate methods for the power of the test of homogeneity in fixed and random effects models. In fixed effects models, the test of homogeneity provides evidence about whether the effect sizes in a meta-analysis are measuring a common effect size. The test of homogeneity in random effects models is a test of the statistical significance of the variance component, the between-studies variance. The chapter gives examples of how to compute the power for the test of homogeneity in both fixed and random effects models.

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Posit### References

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*Statistics in Medicine*21: 1539–1558.CrossRefGoogle Scholar - Satterthwaite, F.E. 1946. An approximate distribution of estimates of variance components.
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