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.
Keywords
Categorical variableResamplingHeteroscedasticityStatisticsVariance (accounting)EcologyMeta-analysisSampling (signal processing)EconometricsRegression analysisType I and type II errorsComputer scienceMathematicsBiology
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Publication Info
- Year
- 1999
- Type
- article
- Volume
- 80
- Issue
- 4
- Pages
- 1142-1149
- Citations
- 1016
- Access
- Closed
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Cite This
Jessica Gurevitch,
Larry V. Hedges
(1999).
STATISTICAL ISSUES IN ECOLOGICAL META-ANALYSES.
Ecology
, 80
(4)
, 1142-1149.
https://doi.org/10.1890/0012-9658(1999)080[1142:siiema]2.0.co;2
Identifiers
- DOI
- 10.1890/0012-9658(1999)080[1142:siiema]2.0.co;2