書誌事項

Introduction to meta-analysis

Michael Borenstein ... [et al.]

Wiley, 2021

2nd ed

  • : hard

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注記

Includes bibliographical references and index

Other authors: Larry V. Hedges, Julian P.T. Higgins, Hannah R. Rothstein

内容説明・目次

内容説明

A clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, and more. Several brand-new chapters provide a systematic "how to" approach to performing and reporting a meta-analysis from start to finish. Written by four of the world's foremost authorities on all aspects of meta-analysis, the new edition: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Includes access to a companion website containing videos, spreadsheets, data files, free software for prediction intervals, and step-by-step instructions for performing analyses using Comprehensive Meta-Analysis (CMA) Download videos, class materials, and worked examples at www.Introduction-to-Meta-Analysis.com "This book offers the reader a unified framework for thinking about meta-analysis, and then discusses all elements of the analysis within that framework. The authors address a series of common mistakes and explain how to avoid them. As the editor-in-chief of the American Psychologist and former editor of Psychological Bulletin, I can say without hesitation that the quality of manuscript submissions reporting meta-analyses would be vastly better if researchers read this book." -Harris Cooper, Hugo L. Blomquist Distinguished Professor Emeritus of Psychology and Neuroscience, Editor-in-chief of the American Psychologist, former editor of Psychological Bulletin "A superb combination of lucid prose and informative graphics, the authors provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students raved about the clarity of the explanations and examples." -David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics "The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice." -Jesse A. Berlin, ScD

目次

List of Tables xv List of Figures xix Acknowledgements xxv Preface xxvii Preface to the Second Edition xxxv Website xxxvii Part 1: Introduction 1 How a Meta-Analysis Works 3 2 Why Perform a Meta-Analysis 9 Part 2: Effect Size and Precision 3 Overview 17 4 Effect Sizes Based On Means 21 5 Effect Sizes Based On Binary Data (2 x 2 Tables) 33 6 Effect Sizes Based On Correlations 39 7 Converting Among Effect Sizes 43 8 Factors That Affect Precision 49 9 Concluding Remarks 55 Part 3: Fixed-Effect Versus Random-Effects Models 10 Overview 59 11 Fixed-Effect Model 61 12 Random-Effects Model 65 13 Fixed-Effect Versus Random-Effects Models 71 14 Worked Examples (Part 1) 81 Part 4: Heterogeneity 15 Overview 97 16 Identifying and Quantifying Heterogeneity 99 17 Prediction Intervals 119 18 Worked Examples (Part 2) 127 19 An Intuitive Look At Heterogeneity 139 20 Classifying Heterogeneity As Low, Moderate, Or High 155 Part 5: Explaining Heterogeneity 21 Subgroup Analyses 161 22 Meta-Regression 197 23 Notes On Subgroup Analyses and Meta-Regression 213 Part 6: Putting It All In Context 24 Looking At the Whole Picture 223 25 Limitations of the Random-Effects Model 233 26 Knapp-Hartung Adjustment 243 Part 7: Complex Data Structures 27 Overview 253 28 Independent Subgroups Within a Study 255 29 Multiple Outcomes or Time-Points Within A Study 263 30 Multiple Comparisons Within a Study 277 31 Notes On Complex Data Structures 281 Part 8: Other Issues 32 Overview 287 33 Vote Counting - A New Name For An Old Problem 289 34 Power Analysis For Meta-Analysis 295 35 Publication Bias 313 Part 9: Issues Related To Effect Size 36 Overview 335 37 Effect Sizes Rather Than P-Values 337 38 Simpson's Paradox 343 39 Generality of the Basic Inverse-Variance Method 349 Part 10: Further Methods 40 Overview 361 41 Meta-Analysis Methods Based On Direction and P-Values 363 42 Further Methods For Dichotomous Data 369 43 Psychometric Meta-Analysis 377 Part 11: Meta-Analysis In Context 44 Overview 391 45 When Does It Make Sense To Perform a Meta-Analysis? 393 46 Reporting The Results of a Meta-Analysis 401 47 Cumulative Meta-Analysis 407 48 Criticisms of Meta-Analysis 413 49 Comprehensive Meta-Analysis Software 425 50 How To Explain the Results of An Analysis 443 Part 12: Resources 51 Software For Meta-Analysis 471 52 Web Sites, Societies, Journals, and Books 473 Web sites 473 Professional societies 476 Journals 476 Special issues dedicated to meta-analysis 477 Books on systematic review methods and meta-analysis 477 References 479 Index 491

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詳細情報

  • NII書誌ID(NCID)
    BC07419182
  • ISBN
    • 9781119558354
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Hoboken
  • ページ数/冊数
    xxxvi, 500 p.
  • 大きさ
    27 cm
  • 分類
  • 件名
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