Chapter
Chapter 1 An Introduction to Meta-Analysis
1.1 The Need for Research Synthesis in the Social Sciences
1.3 A Brief History of Meta‑Analysis
1.4 The Scientific Process of Research Synthesis
1.5 An Overview of the Book
1.6 Practical Matters: A Note on Software and Information Management
Chapter 2 Questions That Can and Questions That Cannot Be Answered through Meta-Analysis
2.1 Identifying Goals and Research Questions for Meta‑Analysis
2.2 The Limits of Primary Research and the Limits of Meta‑Analytic Synthesis
2.3 Critiques of Meta‑Analysis: When Are They Valid and When Are They Not?
2.4 Practical Matters: The Reciprocal Relation between Planning and Conducting a Meta‑Analysis
Chapter 3 Searching the Literature
3.1 Developing and Articulating a Sampling Frame
3.2 Inclusion and Exclusion Criteria
3.3 Finding Relevant Literature
3.4 Reality Checking: Is My Search Adequate?
3.5 Practical Matters: Beginning a Meta‑Analytic Database
Part II The Building Blocks Coding Individual Studies
Chapter 4 Coding Study Characteristics
4.1 Identifying Interesting Moderators
4.2 Coding Study “Quality”
4.3 Evaluating Coding Decisions
4.4 Practical Matters: Creating an Organized Protocol for Coding
Chapter 5 Basic Effect Size Computation
5.1 The Common Metrics: Correlation, Standardized Mean Difference, and Odds Ratio
5.2 Computing r from Commonly Reported Results
5.3 Computing g from Commonly Reported Results
5.4 Computing o from Commonly Reported Results
5.5 Comparisons among r, g, and o
5.6 Practical Matters: Using Effect Size Calculators and Meta‑Analysis Programs
Chapter 6 Corrections to Effect Sizes
6.1 The Controversy of Correction
6.2 Artifact Corrections to Consider
6.3 Practical Matters: When (and How) to Correct: Conceptual, Methodological, and Disciplinary Considerations
Chapter 7 Advanced and Unique Effect Size Computation
7.1 Describing Single Variables
7.2 When the Metric Is Meaningful: Raw Difference Scores
7.3 Regression Coefficients and Similar Multivariate Effect Sizes
7.4 Miscellaneous Effect Sizes
7.5 Practical Matters: The Opportunities and Challenges of Meta‑Analyzing Unique Effect Sizes
Part III Putting the Pieces Together Combining and Comparing Effect Sizes
Chapter 8 Basic Computations Computing Mean Effect Size and Heterogeneity around This Mean
8.1 The Logic of Weighting
8.2 Measures of Central Tendency in Effect Sizes
8.3 Inferential Testing and Confidence Intervals of Average Effect Sizes
8.4 Evaluating Heterogeneity among Effect Sizes
8.5 Practical Matters: Nonindependence among Effect Sizes
Chapter 9 Explaining Heterogeneity among Effect Sizes Moderator Analyses
9.1 Categorical Moderators
9.2 Continuous Moderators
9.3 A General Multiple Regression Framework for Moderation
9.4 An Alternative SEM Approach
9.5 Practical Matters: The Limits of Interpreting Moderators in Meta‑Analysis
Chapter 10 Fixed‑, Random‑, and Mixed‑Effects Models
10.1 Differences among Models
10.2 Analyses of Random‑Effects Models
10.3 Mixed‑Effects Models
10.4 A Structural Equation Modeling Approach to Random‑ and Mixed‑Effects Models
10.5 Practical Matters: Which Model Should I Use?
10.7 Recommended Readings
Chapter 11 Publication Bias
11.1 The Problem of Publication Bias
11.2 Managing Publication Bias
11.3 Practical Matters: What Impact Do Sampling Biases Have on Meta‑Analytic Conclusions?
11.5 Recommended Readings
Chapter 12 Multivariate Meta‑Analytic Models
12.1 Meta‑analysis to Obtain Sufficient Statistics
12.2 Two Approaches to Multivariate Meta‑Analysis
12.3 Practical Matters: The Interplay between Meta‑Analytic Models and Theory
12.5 Recommended Readings
Part IV The Final Product Reporting Meta‑Analytic Results
Chapter 13 Writing Meta‑Analytic Results
13.1 Dimensions of Literature Reviews, Revisited
13.2 What to Report and Where to Report It
13.3 Using Tables and Figures in Reporting Meta‑Analyses
13.4 Practical Matters: Avoiding Common Problems in Reporting Results of Meta‑Analyses
13.6 Recommended Readings
Applied Meta-Analysis for Social Science Research
( Methodology in the Social Sciences )
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