Statistical issues in ecological meta-analyses

Jessica Gurevitch*, Larry V. Hedges

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

800 Scopus citations

Abstract

Meta-analysis is the use of statistical methods to summarize research findings across studies. Special statistical methods are usually needed for meta-analysis, both because effect-size indexes are typically highly heteroscedastic and because it is desirable to be able to distinguish between-study variance from within-study sampling-error variance. We outline a number of considerations related to choosing methods for the meta-analysis of ecological data, including the choice of parametric vs. resampling methods, reasons for conducting weighted analyses where possible, and comparisons fixed vs. mixed models in categorical and regression-type analyses.

Original languageEnglish (US)
Pages (from-to)1142-1149
Number of pages8
JournalEcology
Volume80
Issue number4
DOIs
StatePublished - Jun 1999

Keywords

  • Data synthesis
  • Ecological data, meta-analysis
  • Effect size
  • Heteroscedasticity
  • Meta-analysis
  • Mixed-model analysis
  • Randomization tests in meta-analysis
  • Resampling tests
  • Statistical techniques for data synthesis

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

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