Overview

Full Product Details

Author:   Noel A. Card ,  Soyeon Ahn ,  Brad Bushman ,  Jody Worley
Publisher:   Guilford Publications
Imprint:   Guilford Press
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.680kg
ISBN:  

9781462525003

ISBN 10:   1462525008
Pages:   377
Publication Date:   27 November 2015
Audience:   College/higher education ,  College/higher education ,  Postgraduate, Research & Scholarly ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

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 Together: Combining and Comparing Effect Sizes 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 8.6 Summary 8.7 Recommended Readings 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 9.6 Summary 9.7 Recommended Readings 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? 10.6 Summary 10.7 Recommended Readings 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? 11.4 Summary 11.5 Recommended Readings 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 12.4 Summary 12.5 Recommended Readings IV. The Final Product: Reporting Meta-Analytic Results 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 Figures and Tables in Reporting Meta-Analyses 13.4 Practical Matters: Avoiding Common Problems in Reporting Results of Meta-Analyses 13.5 Summary 13.6 Recommended Readings References Author Index Subject Index About the Author

Reviews

This book teaches individuals how to do a meta-analysis from start to finish. Readers learn how to search the literature, code studies, statistically combine study results, and write up the results. Card covers topics not included in most textbooks, such as how to retrieve unpublished studies, the creation of a coding manual, effect sizes from multiple regression analysis, publication bias, and multivariate procedures in meta-analysis. I like the 'Practical Matters' sections in the chapters. This is an excellent textbook for a course on meta-analysis, and an excellent manual for anyone wanting to conduct a meta-analysis. - Brad J. Bushman, Institute for Social Research, University of Michigan, USA Card is to be applauded for his thorough discussion of both the fundamentals and recent advances in meta-analysis, and for his use of such friendly, toned-down language. For instance, the graphical presentation of simulation results in order to explain the threat/impact of publication bias will really help readers understand the concept. I really like the author's discussions of practical matters, which may stimulate readers to investigate new approaches and practices. I will recommend this book to my colleagues in psychology and education who are interested in learning meta-analysis. - Soyeon Ahn, Research, Measurement, and Evaluation Program, University of Miami, USA

Author Information

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.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions