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

  • Terri D. Pigott
Chapter
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

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.

Keywords

Posit 

References

  1. Hedges, L.V., and T.D. Pigott. 2001. Power analysis in meta-analysis. Psychological Methods 6: 203–217.CrossRefGoogle Scholar
  2. Hedges, L.V., and J.L. Vevea. 1998. Fixed- and random-effects models in meta-analysis. Psychological Methods 3(4): 486–504.CrossRefGoogle Scholar
  3. Higgins, J.P.T., and S.G. Thompson. 2002. Quantifying heterogeneity in a meta-analysis. Statistics in Medicine 21: 1539–1558.CrossRefGoogle Scholar
  4. Satterthwaite, F.E. 1946. An approximate distribution of estimates of variance components. Biometrics Bulletin 2: 110–114.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Terri D. Pigott
    • 1
  1. 1.School of EducationLoyola University ChicagoChicagoUSA

Personalised recommendations