Meta-analysis: synthesizing research findings in ecology and evolution
Abstract
The growing number of empirical studies performed in ecology and evolution creates a need for quantitative summaries of research domains to generate higher-order conclusions about general trends and patterns. Recent developments In meta-analysis (the area of statistics that is designed for summarizing and analyzing multiple independent studies) have opened up new and exciting possibilities. Unlike more traditional qualitative and narrative reviews, meta-analysis allows powerful quantitative analyses of the magnitude of effects and has a high degree of objectivity because it is based on a standardized set of statistical procedures. The first pioneering applications in ecology and evolution demonstrate that meta-analysis is both tractable and powerful.
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Open science practices have been strongly advocated in recent years to facilitate full access to scientific data in an unbiased manner.
“Open science practices have been strongly advocated particularly in the past few years to facilitate full access to scientific data, particularly in an unbiased manner 79 .”
From Meta-analysis and the science of research synthesis (2018) · cites this paper as [79]
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- Authors
- Arnqvist, G., & Wooster, D.
- Affiliations
- University of New Mexico (US)
- University of Kentucky (US)
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 1995-06
- Volume
- 10
- Issue
- 6
- Pages
- 236-240
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2162582079
- Cited by
- 570
- References
- 38
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 15 · 2023: 11 · 2022: 26 · 2021: 11 · 2020: 13 · 2019: 11 · 2018: 17 · 2017: 18 · 2016: 22 · 2015: 18 · 2014: 21 · 2013: 29 · 2012: 26
- FWCI
- 5.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Ecology & Evolution (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- meta-analysis, ecology, evolution, effect size, research trends
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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