An effect size for variance heterogeneity in meta-analysis

Michael Harwell

Research output: Contribution to journalArticlepeer-review

Abstract

The difference in two coefficients of variation is proposed as an effect size to capture variance heterogeneity for two groups across a sample of studies, and five tests of homogeneity of this effect size were studied. Capturing within-study differences in variability across a sample of studies should enhance understanding of treatment effects estimated by traditional mean-based effect sizes by providing information about the extent to which subjects in a treatment group responded similarly across studies relative to a control group. Monte Carlo results suggested the Miller-Feltz test can be used to test homogeneity of within-study variability.

Original languageEnglish (US)
Pages (from-to)1955-1970
Number of pages16
JournalCommunications in Statistics: Simulation and Computation
Volume50
Issue number7
DOIs
StatePublished - Mar 28 2019

Bibliographical note

Publisher Copyright:
© 2019 Taylor & Francis Group, LLC.

Keywords

  • Meta-analysis
  • Monte Carlo study
  • Variance heterogeneity

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