Introduction to Meta-Analysis
(Sprache: Englisch)
Born from the teachings of a popular meta analysis course, Introduction to Meta Analysis provides a concise and clearly presented discussion of all the elements in a meta analysis. Written by four of the leading names in meta analysis research, many points...
Leider schon ausverkauft
versandkostenfrei
Buch (Gebunden)
53.00 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Introduction to Meta-Analysis “
Born from the teachings of a popular meta analysis course, Introduction to Meta Analysis provides a concise and clearly presented discussion of all the elements in a meta analysis. Written by four of the leading names in meta analysis research, many points are explained visually by using screenshots from Excel spreadsheets and computer programs.
Klappentext zu „Introduction to Meta-Analysis “
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis:* 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* Clarifies concepts using text and figures, followed by formulas and examples* Explains how to avoid common mistakes in meta-analysis* Discusses controversies in meta-analysis* Features a web site with additional material and exercisesA superb combination of lucid prose and informative graphics, written by four of the world's leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein 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, who used pre-publication versions of some of the chapters, 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
... mehr
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, ScDIntroduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University
... weniger
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology.Introduction to meta-analysis:
- 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 sections on additional readings and other resources.
The book's approach is primarily conceptual, but with sufficient detail so that readers can implement the procedures in their own research. Key ideas are introduced using text and figures, followed by the relevant formulas and worked examples. These examples, as well as additional exercises and materials, may be downloaded from the book's web site (www.Meta-Analysis.com).
The authors have extensive experience in the theory and application of meta-analysis. As a group, they have hundreds of publications in this area, as well as many years of experience teaching meta-analysis to researchers, clinicians and statisticians. This book builds on this foundation and will serve equally well as the text for a course in meta-analysis, as a resource for self-study, or as a reference.
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. Unlike other references in meta-analysis, which tend to focus on specific fields of research, Introduction to Meta-analysis provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. The summary points at the end of each chapter and the notes at the end are extremely useful. The sections on Simpson's paradox, and a unique perspective on meta-analysis in context are nothing short of gems. 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
- 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 sections on additional readings and other resources.
The book's approach is primarily conceptual, but with sufficient detail so that readers can implement the procedures in their own research. Key ideas are introduced using text and figures, followed by the relevant formulas and worked examples. These examples, as well as additional exercises and materials, may be downloaded from the book's web site (www.Meta-Analysis.com).
The authors have extensive experience in the theory and application of meta-analysis. As a group, they have hundreds of publications in this area, as well as many years of experience teaching meta-analysis to researchers, clinicians and statisticians. This book builds on this foundation and will serve equally well as the text for a course in meta-analysis, as a resource for self-study, or as a reference.
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. Unlike other references in meta-analysis, which tend to focus on specific fields of research, Introduction to Meta-analysis provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. The summary points at the end of each chapter and the notes at the end are extremely useful. The sections on Simpson's paradox, and a unique perspective on meta-analysis in context are nothing short of gems. 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
Inhaltsverzeichnis zu „Introduction to Meta-Analysis “
List of FiguresList of TablesAcknowledgementsPrefacePART 1: INTRODUCTION1 HOW A META-ANALYSIS WORKS2 WHY PERFORM A META-ANALYSISPART 2: EFFECT SIZE AND PRECISION3 OVERVIEW4 EFFECT SIZES BASED ON MEANS5 EFFECT SIZES BASED ON BINARY DATA (2×2 TABLES)6 EFFECT SIZES BASED ON CORRELATIONS7 CONVERTING AMONG EFFECT SIZES8 FACTORS THAT AFFECT PRECISION9 CONCLUDING REMARKSPART 3: FIXED-EFFECT VERSUS RANDOM-EFFECTS MODELS10 OVERVIEW11 FIXED-EFFECT MODEL12 RANDOM-EFFECTS MODEL13 FIXED EFFECT VERSUS RANDOM-EFFECTS MODELS14 WORKED EXAMPLES (PART 1)PART 4: HETEROGENEITY15 OVERVIEW16 IDENTIFYING AND QUANTIFYING HETEROGENEITY17 PREDICTION INTERVALS18 WORKED EXAMPLES (PART 2)19 SUBGROUP ANALYSES20 META-REGRESSION21 NOTES ON SUBGROUP ANALYSES AND META-REGRESSIONPART 5: COMPLEX DATA STRUCTURES22 OVERVIEW23 INDEPENDENT SUBGROUPS WITHIN A STUDY24 MULTIPLE OUTCOMES OR TIME POINTS WITHIN A STUDY25 MULTIPLE COMPARISONS WITHIN A STUDY26 NOTES ON COMPLEX DATA STRUCTURESPART 6: OTHER ISSUES27 OVERVIEW28 VOTE COUNTING - A NEW NAME FOR AN OLD PROBLEM29 POWER ANALYSIS FOR META-ANALYSIS30 PUBLICATION BIASPART 7: ISSUES RELATED TO EFFECT SIZE31 OVERVIEW32 EFFECT SIZES RATHER THAN P -VALUES33 SIMPSON'S PARADOX34 GENERALITY OF THE BASIC INVERSE-VARIANCE METHODPART 8: FURTHER METHODS35 OVERVIEW36 META-ANALYSIS METHODS BASED ON DIRECTION AND P -VALUES37 FURTHER METHODS FOR DICHOTOMOUS DATA38 PSYCHOMETRIC META-ANALYSISPART 9: META-ANALYSIS IN CONTEXT39 OVERVIEW40 WHEN DOES IT MAKE SENSE TO PERFORM A META-ANALYSIS?41 REPORTING THE RESULTS OF A META-ANALYSIS42 CUMULATIVE META-ANALYSIS43 CRITICISMS OF META-ANALYSISPART 10: RESOURCES AND SOFTWARE44 SOFTWARE45 BOOKS, WEB SITES AND PROFESSIONAL ORGANIZATIONSINDEX
Bibliographische Angaben
- Autoren: Michael Borenstein , Larry V. Hedges , Julian P. T Higgins , Hannah R. Rothstein
- 2009, 1. Auflage, 452 Seiten, mit Abbildungen, Maße: 17,5 x 25 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470057246
- ISBN-13: 9780470057247
- Erscheinungsdatum: 23.03.2009
Sprache:
Englisch
Rezension zu „Introduction to Meta-Analysis “
"Both books can be recommended for graduate training and are useful additions to the library of those interested in the meta-analytic accumulation of literatures on training, vocational learning, and education in the professions." (Vocations and Learning, 15 December 2010)
Pressezitat
"Both books can be recommended for graduate training and are useful additions to the library of those interested in the meta analytic accumulation of literatures on training, vocational learning, and education in the professions." (Vocations and Learning, 15 December 2010)
Kommentar zu "Introduction to Meta-Analysis"
Schreiben Sie einen Kommentar zu "Introduction to Meta-Analysis".
Kommentar verfassen