Handbook of Meta-analysis in Ecology and Evolution /

Handbook of Meta-analysis in Ecology and Evolution / / ed. by Kerrie Mengersen, Jessica Gurevitch, Julia Koricheva.

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 we...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
MitwirkendeR:
Curtis, Peter S.,
Côté, Isabelle M.,
Gurevitch, Jessica,
Jennions, Michael D.,
Koricheva, Julia,
Lajeunesse, Marc J.,
Lau, Joseph,
Lortie, Christopher J.,
Mengersen, Kerrie,
Rosenberg, Michael S.,
Rothstein, Hannah R.,
Schmid, Christopher H.,
Stewart, Gavin B.,
HerausgeberIn:
Gurevitch, Jessica,
Koricheva, Julia,
Mengersen, Kerrie,
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2013]
©2013
Year of Publication:2013
Edition:Core Textbook
Language:English
Online Access:
Physical Description:1 online resource (520 p.) :; 51 line illus. 45 tables.
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Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • Section I. Introduction and Planning
  • 1. Place of Meta-analysis among Other Methods of Research Synthesis
  • 2. The Procedure of Meta-analysis in a Nutshell
  • Section II. Initiating a Meta-analysis
  • 3. First Steps in Beginning a Meta-analysis
  • 4. Gathering Data: Searching Literature and Selection Criteria
  • 5. Extraction and Critical Appraisal of Data
  • 6. Effect Sizes: Conventional Choices and Calculations
  • 7. Using Other Metrics of Effect Size in Meta-analysis
  • Section III. Essential Analytic Models and Methods
  • 8. Statistical Models and Approaches to Inference
  • 9. Moment and Least-S quares Based Approaches to Meta-analytic Inference
  • 10. Maximum Likelihood Approaches to Meta-analysis
  • 11. Bayesian Meta-analysis
  • 12. Software for Statistical Meta-analysis
  • Section IV. Statistical Issues and Problems
  • 13. Recovering Missing or Partial Data from Studies: A Survey of Conversions and Imputations for Meta-analysis
  • 14. Publication and Related Biases
  • 15. Temporal Trends in Effect Sizes: Causes, Detection, and Implications
  • 16. Statistical Models for the Meta-analysis of Nonindependent Data
  • 17. Phylogenetic Nonindependence and Meta-analysis
  • 18. Meta-analysis of Primary Data
  • 19. Meta-analysis of Results from Multisite Studies
  • Section V. Presentation and Interpretation of Results
  • 20. Quality Standards for Research Syntheses
  • 21. Graphical Presentation of Results
  • 22. Power Statistics for Meta-analysis: Tests for Mean Effects and Homogeneity
  • 23. Role of Meta-analysis in Interpreting the Scientific Literature
  • 24. Using Meta-analysis to Test Ecological and Evolutionary Theory
  • 25. History and Progress of Meta-analysis
  • 26. Contributions of Meta-analysis to Conservation and Management
  • 27. Conclusions: Past, Present, and Future of Meta-analysis in Ecology and Evolution
  • Glossary
  • Frequently Asked Questions
  • References
  • List of Contributors
  • Subject Index

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