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 language | English (US) |
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Pages (from-to) | 1142-1149 |
Number of pages | 8 |
Journal | Ecology |
Volume | 80 |
Issue number | 4 |
DOIs | |
State | Published - 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