Handbook of metaanalysis in ecology and evolution
 Responsibility
 edited by Julia Koricheva, Jessica Gurevitch, and Kerrie Mengersen.
 Language
 English.
 Publication
 Princeton : Princeton University Press, [2013]
 Physical description
 xv, 498 pages : illustrations ; 26 cm
Access
Available online
Biology Library (Falconer)
Stacks
Call number  Status 

QH541.15 .S72 H36 2013  Unknown 
Marine Biology Library (Miller)
Stacks
Call number  Status 

QH541.15 .S72 H36 2013  Unknown 
More options
Creators/Contributors
Contents/Summary
 Bibliography
 Includes bibliographical references (pages 447485) and index.
 Contents

 Preface xi SECTION I: Introduction & Planning 1. Place of Metaanalysis among Other Methods of Research Synthesis 3 Julia Koricheva & Jessica Gurevitch 2. The Procedure of Metaanalysis in a Nutshell 14 Isabelle M. Cote & Michael D. Jennions SECTION II : Initiating a Metaanalysis 3. First Steps in Beginning a Metaanalysis 27 Gavin B. Stewart, Isabelle M. Cote, Hannah R. Rothstein, & Peter S. Curtis 4. Gathering Data: Searching Literature & Selection Criteria 37 Isabelle M. Cote, Peter S. Curtis, Hannah R. Rothstein, & Gavin B. Stewart 5. Extraction & Critical Appraisal of Data 52 Peter S. Curtis, Kerrie Mengersen, Marc J. Lajeunesse, Hannah R. Rothstein, & Gavin B. Stewart 6. Effect Sizes: Conventional Choices & Calculations 61 Michael S. Rosenberg, Hannah R. Rothstein, & Jessica Gurevitch 7. Using Other Metrics of Effect Size in Metaanalysis 72 Kerrie Mengersen & Jessica Gurevitch SECTION III : Essential Analytic Models & Methods 8. Statistical Models & Approaches to Inference 89 Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions, & Jessica Gurevitch 9. Moment & LeastSquares Based Approaches to Metaanalytic Inference 108 Michael S. Rosenberg 10. Maximum Likelihood Approaches to Metaanalysis 125 Kerrie Mengersen & Christopher H. Schmid 11. Bayesian Metaanalysis 145 Christopher H. Schmid & Kerrie Mengersen 12. Software for Statistical Metaanalysis 174 Christopher H. Schmid, Gavin B. Stewart, Hannah R. Rothstein, Marc J. Lajeunesse, & Jessica Gurevitch SECTION IV: Statistical Issues & Problems 13. Recovering Missing or Partial Data from Studies: A Survey of Conversions & Imputations for Metaanalysis 195 Marc J. Lajeunesse 14. Publication & Related Biases 207 Michael D. Jennions, Christopher J. Lortie, Michael S. Rosenberg, & Hannah R. Rothstein 15. Temporal Trends in Effect Sizes: Causes, Detection, & Implications 237 Julia Koricheva, Michael D. Jennions, & Joseph Lau 16. Statistical Models for the Metaanalysis of Nonindependent Data 255 Kerrie Mengersen, Michael D. Jennions, & Christopher H. Schmid 17. Phylogenetic Nonindependence & Metaanalysis 284 Marc J. Lajeunesse, Michael S. Rosenberg, & Michael D. Jennions 18. Metaanalysis of Primary Data 300 Kerrie Mengersen, Jessica Gurevitch, & Christopher H. Schmid 19. Metaanalysis of Results from Multisite Studies 313 Jessica Gurevitch SECTION V: Presentation & Interpretation of Results 20. Quality St&ards for Research Syntheses 323 Hannah R. Rothstein, Christopher J. Lortie, Gavin B. Stewart, Julia Koricheva, & Jessica Gurevitch 21. Graphical Presentation of Results 339 Christopher J. Lortie, Joseph Lau, & Marc J. Lajeunesse 22. Power Statistics for Metaanalysis: Tests for Mean Effects & Homogeneity 348 Marc J. Lajeunesse 23. Role of Metaanalysis in Interpreting the Scientific Literature 364 Michael D. Jennions, Christopher J. Lortie, & Julia Koricheva 24. Using Metaanalysis to Test Ecological & Evolutionary Theory 381 Michael D. Jennions, Christopher J. Lortie, & Julia Koricheva SECTION VI: Contributions of Metaanalysis in Ecology & Evolution 25. History & Progress of Metaanalysis 407 Joseph Lau, Hannah R. Rothstein, & Gavin B. Stewart 26. Contributions of Metaanalysis to Conservation & Management 420 Isabelle M. Cote & Gavin B. Stewart 27. Conclusions: Past, Present, & Future of Metaanalysis in Ecology & Evolution 426 Jessica Gurevitch & Julia Koricheva Glossary 433 Frequently Asked Questions 441 References 447 List of Contributors 487 Subject Index 489.
 (source: Nielsen Book Data)
 Publisher's Summary
 Metaanalysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of metaanalysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an uptodate guide for experienced metaanalysts. The chapters, written by renowned experts, walk readers through every step of metaanalysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using metaanalysis for research synthesis and the potential pitfalls and limitations of metaanalysis (including when it should not be used). Different approaches to carrying out a metaanalysis are described, and include moment and leastsquare, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This oneofakind 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 metaanalysis 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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2013
 ISBN
 9780691137285 (hardback)
 0691137285 (hardback)
 9780691137292 (paperback)
 0691137293 (paperback)