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Clearly written and compellingly argued, this book explains the procedures and benefits of correcting for measurement error and range restriction and details the methodological developments in meta-analysis over the last decade. No one should consider conducting a meta-analysis without first reading this book. It is essential reading for all scientists.
-Michael A. McDaniel, Virginia Commonwealth University

A book that will certainly appeal not only to the students, but will also be a great reference source for the technically sophisticated professional. The breadth and depth of the coverage, not to mention the novelty and clarity of writing, makes this book a classic in the field. It covers (and at times introduces) many novel issues that will be in the forefront for some years to come-as such a must read for all meta-analysts.
-Vish C. Viswesvaran, Ph.D., Director of I/O Program, Florida International University

Meta-analysis is arguably the most important methodological innovation in the social and behavioral sciences in the last 25 years. Developed to offer researchers an informative account of which methods are most useful in integrating research findings across studies, this book will enable the reader to apply, as well as understand, meta-analytic methods. Rather than taking an encyclopedic approach, the authors have focused on carefully developing those techniques that are most applicable to social science research, and have given a general conceptual description of more complex and rarely-used techniques. Fully revised and updated, Methods of Meta-Analysis, Second Edition is the most comprehensive text on meta-analysis available today.

New to the Second Edition:

* An evaluation of fixed versus random effects models for meta-analysis * New methods for correcting for indirect range restriction in meta-analysis * New developments in corrections for measurement error * A discussion of a new Windows-based program package for applying the meta-analysis methods presented in the book * A presentation of the theories of data underlying different approaches to meta-analysis