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Finally a book addressing the various needs, concepts, and approaches for SAS users who work with meta-analytic procedures! Wang and Bushman introduce the reader to the important concepts in meta-analysis and how to use SAS software for this specific type of analysis. The authors thoroughly describe how meta-analysis can be used in data mining projects to discover meaningful relations among variables in a collection of studies. In addition, the following concepts are covered in detail: how to present your results in graphical format, how to combine effect-size estimates based on categorical and continuous data, how to use vote-counting procedures to show the statistical significance of results, how to combine effect-size estimates and vote counts, how to deal with fixed- and random-effects models, how to combine dependent or correlated effect-size estimates using multivariate procedures, and how to report the results and conduct the data analysis portion of a meta-analysis.
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Morgan C. Wang, Ph. D.
Morgan C. Wang, Ph. D., is a statistician with a solid theoretical and applied back-ground in meta-analysis. He has supervised several research reports using SAS software to implement meta-analytic procedures. One of these reports was presented at the SAS Users Group International Conference (1994), and another report was presented at the Joint Statistical Annual Meetings (1995).
Dr. Wang has over a decade of experience working with the SAS System and has taught SAS/GRAPH short courses and other graduate-level statistical courses using SAS software.
Brad J. Bushman, Ph. D
Brad J. Bushman, Ph. D., is a practicing meta-analyst and Associate Professor in the Department of Psychology at Iowa State University. He brings to this book over ten years of experience and expertise with the SAS System.
Dr. Bushman has published numerous meta-analytic review articles as well as numerous research articles on the topics of human aggression, media violence, and social influence.Review:
The SAS publication provides excellent and well-written procedural details for conducting meta-analysis. The simple and stylized demonstration of various formulae as well as the specific macros are sufficient for any researcher with a basic background in statistics and meta-analytic reviews to become a practicing meta-analyst almost overnight. --Gopol Iver, Journal of Business-to-Business Marketing
[This book] is a valuable SAS resource. Meta-analysis is an underused but powerful statistical procedure. Many statisticians are introduced to the concept of meta-analysis, but there have been few clearly written descriptions of how to perform the procedure. Wang and Bushman have filled this need with their book written for researchers with at least an introductory level of statistical knowledge. They take the reader from an introduction to meta- analysis through the various steps of SAS code and even include a section on how to present the results. Particularly helpful are the chapters on preparing a dataset for analysis and on graphical presentation alternatives. This book contains all the information a researcher would need to conduct a meta-analysis using SAS and present it for publication. --Erica Lynne Zwilling, Stroud Water Research Center
I knew the theory, but had no practical experience with the subject. It made me think I would have a difficult time with the book's subject. I was wrong. Mr. Wang and Mr. Bushman seem to understand this, for in the first chapter of Integrating Results through Meta-Analytic Review Using SAS Software they provide a conceptual overview of the topic. To that they provide the statistical underpinnings of meta-analysis and then guide SAS users on the SAS System's role in the analysis techniques. --James A. Shook, The Pennsylvania Higher Education Agency
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