Handbook of Meta-analysis in Ecology and Evolution
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Edited by:
Julia Koricheva
About this book
Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts.
The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management.
- Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation
- Brings together experts from a broad range of fields
- Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species
- Helps you choose the right software
- Draws on numerous examples based on real biological datasets
Author / Editor information
Reviews
"A superb guide to the conduct and interpretation of meta-analysis, from an exceptional team of international experts. This comprehensive manual covers essential concepts, steps, and standards for rigorous research synthesis in ecology and evolutionary biology. Its clear prose, helpful illustrations, and worked examples will be useful for beginners and experts alike. Highly recommended for use as a textbook or for self-study."—Julia Littell, Bryn Mawr College, coauthor of Systematic Reviews and Meta-Analysis
"This is a well-written and valuable book, one that is unique within biology. The use of meta-analysis in ecology and evolution has reached the point where there is a need for a comprehensive, single-volume text such as this."—Samuel M. Scheiner, coeditor of The Theory of Ecology
"This book provides readers with a complete picture of the state of meta-analysis in ecology, evolution, and conservation biology today. It will help to raise the bar on the quality of meta-analytical research in the field, as well as improving research synthesis in general. This is the first book on the subject written for ecologists and environmental scientists."—Michael Dietze, Boston University
Topics
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Section I. Introduction and Planning
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Julia Koricheva and Jessica Gurevitch Requires Authentication Unlicensed Licensed |
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Isabelle M. Côté and Michael D. Jennions Requires Authentication Unlicensed Licensed |
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Section II. Initiating a Meta-analysis
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Gavin B. Stewart, Isabelle M. Côté, Hannah R. Rothstein and Peter S. Curtis Requires Authentication Unlicensed Licensed |
27 |
Isabelle M. Côté, Peter S. Curtis, Hannah R. Rothstein and Gavin B. Stewart Requires Authentication Unlicensed Licensed |
37 |
Peter S. Curtis, Kerrie Mengersen, Marc J. Lajeunesse, Hannah R. Rothstein and Gavin B. Stewart Requires Authentication Unlicensed Licensed |
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Michael S. Rosenberg, Hannah R. Rothstein and Jessica Gurevitch Requires Authentication Unlicensed Licensed |
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Kerrie Mengersen and Jessica Gurevitch Requires Authentication Unlicensed Licensed |
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Section III. Essential Analytic Models and Methods
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Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions and Jessica Gurevitch Requires Authentication Unlicensed Licensed |
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Michael S. Rosenberg Requires Authentication Unlicensed Licensed |
108 |
Kerrie Mengersen and Christopher H. Schmid Requires Authentication Unlicensed Licensed |
125 |
Christopher H. Schmid and Kerrie Mengersen Requires Authentication Unlicensed Licensed |
145 |
Christopher H. Schmid, Gavin B. Stewart, Hannah R. Rothstein, Marc J. Lajeunesse and Jessica Gurevitch Requires Authentication Unlicensed Licensed |
174 |
Section IV. Statistical Issues and Problems
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Marc J. Lajeunesse Requires Authentication Unlicensed Licensed |
195 |
Michael D. Jennions, Christopher J. Lortie, Michael S. Rosenberg and Hannah R. Rothstein Requires Authentication Unlicensed Licensed |
207 |
Julia Koricheva, Michael D. Jennions and Joseph Lau Requires Authentication Unlicensed Licensed |
237 |
Kerrie Mengersen, Michael D. Jennions and Christopher H. Schmid Requires Authentication Unlicensed Licensed |
255 |
Marc J. Lajeunesse, Michael S. Rosenberg and Michael D. Jennions Requires Authentication Unlicensed Licensed |
284 |
Kerrie Mengersen, Jessica Gurevitch and Christopher H. Schmid Requires Authentication Unlicensed Licensed |
300 |
Jessica Gurevitch Requires Authentication Unlicensed Licensed |
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Section V. Presentation and Interpretation of Results
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Hannah R. Rothstein, Christopher J. Lortie, Gavin B. Stewart, Julia Koricheva and Jessica Gurevitch Requires Authentication Unlicensed Licensed |
323 |
Christopher J. Lortie, Joseph Lau and Marc J. Lajeunesse Requires Authentication Unlicensed Licensed |
339 |
Marc J. Lajeunesse Requires Authentication Unlicensed Licensed |
348 |
Michael D. Jennions, Christopher J. Lortie and Julia Koricheva Requires Authentication Unlicensed Licensed |
364 |
Michael D. Jennions, Christopher J. Lortie and Julia Koricheva Requires Authentication Unlicensed Licensed |
381 |
Joseph Lau, Hannah R. Rothstein and Gavin B. Stewart Requires Authentication Unlicensed Licensed |
407 |
Isabelle M. Côté and Gavin B. Stewart Requires Authentication Unlicensed Licensed |
420 |
Jessica Gurevitch and Julia Koricheva Requires Authentication Unlicensed Licensed |
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