Buch, Englisch, 452 Seiten, Format (B × H): 175 mm x 250 mm, Gewicht: 962 g
ISBN: 978-0-470-05724-7
Verlag: Wiley John + Sons
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 exercises
A 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 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
Introduction 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
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
List of Figures
List of Tables
Acknowledgements
Preface
PART 1: INTRODUCTION
1 HOW A META-ANALYSIS WORKS
2 WHY PERFORM A META-ANALYSIS
PART 2: EFFECT SIZE AND PRECISION
3 OVERVIEW
4 EFFECT SIZES BASED ON MEANS
5 EFFECT SIZES BASED ON BINARY DATA (2×2 TABLES)
6 EFFECT SIZES BASED ON CORRELATIONS
7 CONVERTING AMONG EFFECT SIZES
8 FACTORS THAT AFFECT PRECISION
9 CONCLUDING REMARKS
PART 3: FIXED-EFFECT VERSUS RANDOM-EFFECTS MODELS
10 OVERVIEW
11 FIXED-EFFECT MODEL
12 RANDOM-EFFECTS MODEL
13 FIXED EFFECT VERSUS RANDOM-EFFECTS MODELS
14 WORKED EXAMPLES (PART 1)
PART 4: HETEROGENEITY
15 OVERVIEW
16 IDENTIFYING AND QUANTIFYING HETEROGENEITY
17 PREDICTION INTERVALS
18 WORKED EXAMPLES (PART 2)
19 SUBGROUP ANALYSES
20 META-REGRESSION
21 NOTES ON SUBGROUP ANALYSES AND META-REGRESSION
PART 5: COMPLEX DATA STRUCTURES
22 OVERVIEW
23 INDEPENDENT SUBGROUPS WITHIN A STUDY
24 MULTIPLE OUTCOMES OR TIME POINTS WITHIN A STUDY
25 MULTIPLE COMPARISONS WITHIN A STUDY
26 NOTES ON COMPLEX DATA STRUCTURES
PART 6: OTHER ISSUES
27 OVERVIEW
28 VOTE COUNTING - A NEW NAME FOR AN OLD PROBLEM
29 POWER ANALYSIS FOR META-ANALYSIS
30 PUBLICATION BIAS
PART 7: ISSUES RELATED TO EFFECT SIZE
31 OVERVIEW
32 EFFECT SIZES RATHER THAN P -VALUES
33 SIMPSON'S PARADOX
34 GENERALITY OF THE BASIC INVERSE-VARIANCE METHOD
PART 8: FURTHER METHODS
35 OVERVIEW
36 META-ANALYSIS METHODS BASED ON DIRECTION AND P -VALUES
37 FURTHER METHODS FOR DICHOTOMOUS DATA
38 PSYCHOMETRIC META-ANALYSIS
PART 9: META-ANALYSIS IN CONTEXT
39 OVERVIEW
40 WHEN DOES IT MAKE SENSE TO PERFORM A META-ANALYSIS?
41 REPORTING THE RESULTS OF A META-ANALYSIS
42 CUMULATIVE META-ANALYSIS
43 CRITICISMS OF META-ANALYSIS
PART 10: RESOURCES AND SOFTWARE
44 SOFTWARE
45 BOOKS, WEB SITES AND PROFESSIONAL ORGANIZATIONS
INDEX
