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Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (Paperback)
  • Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (Paperback)
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Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (Paperback)

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£91.00
Paperback 616 Pages / Published: 03/06/2004
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Meta-analysis is arguably the most important methodological innovation in the social and behavioural sciences in the last 25 years. This revision of Hunter and Schmidt's book, Methods of Meta-Analysis (SAGE 1990), covers the important new developments in meta-analysis methods over the last 14 years. This edition presents 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 (including how to select the appropriate reliability coefficients to use), a discussion of a new Windows-based program package for applying the meta-analysis methods presented in the book, and a discussion of the theories of data underlying different approaches to meta-analysis. Coverage of these topics along with updated coverage of many other topics makes this book the most comprehensive text on meta-analysis methods available today.

Publisher: SAGE Publications Inc
ISBN: 9781412904797
Number of pages: 616
Weight: 1050 g
Dimensions: 254 x 177 x 31 mm
Edition: 2nd Revised edition


MEDIA REVIEWS
"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
"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.

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