Applied Meta-analysis for Social Science Research

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Guilford Press, Jan 1, 2012 - Psychology - 377 pages

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.

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Contents

Chapter 1 An Introduction to MetaAnalysis
3
12 Basic Terminology
4
13 A Brief History of MetaAnalysis
8
14 The Scientific Process of Research Synthesis
9
15 An Overview of the Book
12
A Note on Software and Information Management
13
17 Summary
14
Chapter 2 Questions That Can and Questions That Cannot Be Answered through MetaAnalysis
16
76 Summary
169
Part III Putting the Pieces Together Combining and Comparing Effect Sizes
173
Chapter 8 Basic Computations Computing Mean Effect Size and Heterogeneity around This Mean
175
81 The Logic of Weighting
176
82 Measures of Central Tendency in Effect Sizes
180
83 Inferential Testing and Confidence Intervals of Average Effect Sizes
182
84 Evaluating Heterogeneity among Effect Sizes
184
Nonindependence among Effect Sizes
191

21 Identifying Goals and Research Questions for MetaAnalysis
17
22 The Limits of Primary Research and the Limits of MetaAnalytic Synthesis
19
When Are They Valid and When Are They Not?
23
The Reciprocal Relation between Planning and Conducting a MetaAnalysis
29
25 Summary
31
26 Recommended Readings
32
Chapter 3 Searching the Literature
34
32 Inclusion and Exclusion Criteria
38
33 Finding Relevant Literature
42
Is My Search Adequate?
52
Beginning a MetaAnalytic Database
55
36 Summary
58
Part II The Building Blocks Coding Individual Studies
61
Chapter 4 Coding Study Characteristics
63
41 Identifying Interesting Moderators
64
42 Coding Study Quality
68
43 Evaluating Coding Decisions
73
Creating an Organized Protocol for Coding
77
45 Summary
82
Chapter 5 Basic Effect Size Computation
85
52 Computing r from Commonly Reported Results
96
53 Computing g from Commonly Reported Results
107
54 Computing o from Commonly Reported Results
114
55 Comparisons among r g and o
118
Using Effect Size Calculators and MetaAnalysis Programs
121
57 Summary
122
Chapter 6 Corrections to Effect Sizes
126
61 The Controversy of Correction
127
62 Artifact Corrections to Consider
129
When and How to Correct Conceptual Methodological and Disciplinary Considerations
142
64 Summary
144
Chapter 7 Advanced and Unique Effect Size Computation
147
Raw Difference Scores
154
73 Regression Coefficients and Similar Multivariate Effect Sizes
156
74 Miscellaneous Effect Sizes
161
The Opportunities and Challenges of MetaAnalyzing Unique Effect Sizes
166
86 Summary
195
Chapter 9 Explaining Heterogeneity among Effect Sizes Moderator Analyses
198
91 Categorical Moderators
199
92 Continuous Moderators
207
93 A General Multiple Regression Framework for Moderation
210
94 An Alternative SEM Approach
218
The Limits of Interpreting Moderators in MetaAnalysis
222
96 Summary
226
Chapter 10 Fixed Random and MixedEffects Models
229
101 Differences among Models
230
102 Analyses of RandomEffects Models
234
103 MixedEffects Models
239
104 A Structural Equation Modeling Approach to Random and MixedEffects Models
245
Which Model Should I Use?
250
106 Summary
255
Chapter 11 Publication Bias
257
112 Managing Publication Bias
260
What Impact Do Sampling Biases Have on MetaAnalytic Conclusions?
275
114 Summary
276
Chapter 12 Multivariate MetaAnalytic Models
279
121 Metaanalysis to Obtain Sufficient Statistics
280
122 Two Approaches to Multivariate MetaAnalysis
286
The Interplay between MetaAnalytic Models and Theory
300
124 Summary
305
125 Recommended Readings
306
Part IV The Final Product Reporting MetaAnalytic Results
311
Chapter 13 Writing MetaAnalytic Results
313
132 What to Report and Where to Report It
317
133 Using Tables and Figures in Reporting MetaAnalyses
329
Avoiding Common Problems in Reporting Results of MetaAnalyses
337
135 Summary
342
References
345
Author Index
357
Subject Index
363
About the Author
377
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About the author (2012)

Noel A. Card is Associate Professor in Family Studies and Human Development at the University of Arizona. His areas of interest include child and adolescent social development and quantitative research methods. He has received the Society for Research in Child Development Early Career Research Contributions Award and is an elected member of the Society of Multivariate Experimental Psychology.

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