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Integrating Results through Meta-Analytic Review Using SAS Software, Second Edition
By Morgan C. Wang and Brad Bushman
Anticipated publication date: Third quarter 2012
The definitive book that addresses the various needs, concepts, and approaches for SAS users who work with meta-analytic procedures has now been updated in a second edition! In Integrating Results through Meta-Analytic Review Using SAS Software, Second Edition, Morgan Wang and Brad Bushman introduce the reader to the important concepts in meta-analysis and how to use SAS software for this specific type of analysis. The new edition includes new procedures such as effect sizes in nested designs and model-based meta-analysis. Also, it offers new varying coefficient meta-analytic procedures that require fewer assumptions than the conventional fixed-effects and random-effects methods. You’ll learn how to create a meta-analytic data set using SAS Enterprise Guide and how to troubleshoot data problems such as correcting effect-sizes, missing values, correlated effect sizes, and publication bias in meta-analysis. In addition to discussing new methods for assessing moderator effects in meta-analytic reviews, 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. As in the first edition, 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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