{"product_id":"handbook-of-metaanalysis-in-ecology-and-evolution-9780691137292","title":"Handbook of Metaanalysis in Ecology and Evolution","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMeta-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-ana\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"[T]his is a comprehensive and up-to-date compendium of all relevant aspects for meta-analysis conduction in ecology, evolution, and related topics. Scientists from these areas who already have some knowledge on meta-analysis will find valuable guidance.\"--Daniela Vetter, Quarterly Review of Biology\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface xi  SECTION I: Introduction \u0026amp; Planning 1.Place of Meta-analysis among Other Methods of Research Synthesis 3 Julia Koricheva \u0026amp; Jessica Gurevitch 2.The Procedure of Meta-analysis in a Nutshell 14 Isabelle M. Cote \u0026amp; Michael D. Jennions SECTION II : Initiating a Meta-analysis 3.First Steps in Beginning a Meta-analysis 27 Gavin B. Stewart, Isabelle M. Cote, Hannah R. Rothstein, \u0026amp; Peter S. Curtis 4.Gathering Data: Searching Literature \u0026amp; Selection Criteria 37 Isabelle M. Cote, Peter S. Curtis, Hannah R. Rothstein, \u0026amp; Gavin B. Stewart 5.Extraction \u0026amp; Critical Appraisal of Data 52 Peter S. Curtis, Kerrie Mengersen, Marc J. Lajeunesse, Hannah R. Rothstein, \u0026amp; Gavin B. Stewart 6.Effect Sizes: Conventional Choices \u0026amp; Calculations 61 Michael S. Rosenberg, Hannah R. Rothstein, \u0026amp; Jessica Gurevitch 7.Using Other Metrics of Effect Size in Meta-analysis 72 Kerrie Mengersen \u0026amp; Jessica Gurevitch SECTION III : Essential Analytic Models \u0026amp; Methods 8.Statistical Models \u0026amp; Approaches to Inference 89 Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions, \u0026amp; Jessica Gurevitch 9.Moment \u0026amp; Least-Squares Based Approaches to Meta-analytic Inference 108 Michael S. Rosenberg 10.Maximum Likelihood Approaches to Meta-analysis 125 Kerrie Mengersen \u0026amp; Christopher H. Schmid 11.Bayesian Meta-analysis 145 Christopher H. Schmid \u0026amp; Kerrie Mengersen 12.Software for Statistical Meta-analysis 174 Christopher H. Schmid, Gavin B. Stewart, Hannah R. Rothstein, Marc J. Lajeunesse, \u0026amp; Jessica Gurevitch SECTION IV: Statistical Issues \u0026amp; Problems 13.Recovering Missing or Partial Data from Studies: A Survey of Conversions \u0026amp; Imputations for Meta-analysis 195 Marc J. Lajeunesse 14.Publication \u0026amp; Related Biases 207 Michael D. Jennions, Christopher J. Lortie, Michael S. Rosenberg, \u0026amp; Hannah R. Rothstein 15.Temporal Trends in Effect Sizes: Causes, Detection, \u0026amp; Implications 237 Julia Koricheva, Michael D. Jennions, \u0026amp; Joseph Lau 16.Statistical Models for the Meta-analysis of Nonindependent Data 255 Kerrie Mengersen, Michael D. Jennions, \u0026amp; Christopher H. Schmid 17.Phylogenetic Nonindependence \u0026amp; Meta-analysis 284 Marc J. Lajeunesse, Michael S. Rosenberg, \u0026amp; Michael D. Jennions 18.Meta-analysis of Primary Data 300 Kerrie Mengersen, Jessica Gurevitch, \u0026amp; Christopher H. Schmid 19.Meta-analysis of Results from Multisite Studies 313 Jessica Gurevitch SECTION V: Presentation \u0026amp; Interpretation of Results 20.Quality St\u0026amp;ards for Research Syntheses 323 Hannah R. Rothstein, Christopher J. Lortie, Gavin B. Stewart, Julia Koricheva, \u0026amp; Jessica Gurevitch 21.Graphical Presentation of Results 339 Christopher J. Lortie, Joseph Lau, \u0026amp; Marc J. Lajeunesse 22.Power Statistics for Meta-analysis: Tests for Mean Effects \u0026amp; Homogeneity 348 Marc J. Lajeunesse 23.Role of Meta-analysis in Interpreting the Scientific Literature 364 Michael D. Jennions, Christopher J. Lortie, \u0026amp; Julia Koricheva 24.Using Meta-analysis to Test Ecological \u0026amp; Evolutionary Theory 381 Michael D. Jennions, Christopher J. Lortie, \u0026amp; Julia Koricheva SECTION VI: Contributions of Meta-analysis in Ecology \u0026amp; Evolution 25.History \u0026amp; Progress of Meta-analysis 407 Joseph Lau, Hannah R. Rothstein, \u0026amp; Gavin B. Stewart 26.Contributions of Meta-analysis to Conservation \u0026amp; Management 420 Isabelle M. Cote \u0026amp; Gavin B. Stewart 27.Conclusions: Past, Present, \u0026amp; Future of Meta-analysis in Ecology \u0026amp; Evolution 426 Jessica Gurevitch \u0026amp; Julia Koricheva  Glossary 433 Frequently Asked Questions 441 References 447 List of Contributors 487 Subject Index 489","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":48865521205591,"sku":"9780691137292","price":63.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780691137292.jpg?v=1722274367","url":"https:\/\/bookcurl.com\/products\/handbook-of-metaanalysis-in-ecology-and-evolution-9780691137292","provider":"Book Curl","version":"1.0","type":"link"}