Applied Meta-Analysis for Social Science Research

1. Auflage 2011
ISBN: 978-1-60918-499-5
Verlag: Guilford Publications

Buch, Englisch, 377 Seiten, Format (B × H): 159 mm x 241 mm, Gewicht: 794 g

Reihe: Methodology in the Social Sciences

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 The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review.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.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Card, Noel A

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung

Inhaltsverzeichnis

I. The Blueprint: Planning and Preparing a Meta-Analytic Review 1. AN INTRODUCTION TO META-ANALYSIS 1.1 The Need for Research Synthesis in the Social Sciences 1.2 Basic Terminology 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 1.7 Summary 1.8 Recommended Readings 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 2.5 Summary 2.6 Recommended Readings 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 3.6 Summary 3.7 Recommended Readings II. The Building Blocks: Coding Individual Studies 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 4.5 Summary 4.6 Recommended Readings 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 5.7 Summary 5.8 Recommended Readings 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 6.4 Summary 6.5 Recommended Readings 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 7.6 Summary 7.7 Recommended Readings III. Putting the Pieces T

Über Autor(innen)

Noel A. Card PhD, is Associate Professor in Educational Psychology at the University of Connecticut. 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.