1. Edition - March 2009
44.90 Euro
2009. 450 Pages, Hardcover
- Textbook -
ISBN-10: 0-470-05724-6
ISBN-13: 978-0-470-05724-7 - John Wiley & Sons






Sample Chapter

Short description
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. The text's user-friendly style allows researchers, graduate students, and advanced undergraduate students with no previous experience of meta-analysis to grasp its techniques, and utilize them with a hands-on, interactive approach.

From the contents
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