The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
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 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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Metadata
- 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
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