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Introduction to Meta-Analysis (Statistics in Practice)



By: Borenstein(Author)

Language: English

Genre: Scientific, Technical & Medical

Publisher: John Wiley & Sons; 1 edition (2 April 2009)

Format: pdf doc docx mobi djvu epub ibooks (*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.)

The original title of the book: Introduction to Meta-Analysis (Statistics in Practice)

This book provides a clear and thorough introduction to meta–analysis, the process of synthesizing data from a series of separate studies. Meta–analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology.Introduction to Meta–Analysis:
  • Outlines the role of meta–analysis in the research process
  • Shows how to compute effects sizes and treatment effects
  • Explains the fixed–effect and random–effects models for synthesizing data
  • Demonstrates how to assess and interpret variation in effect size across studies
  • Clarifies concepts using text and figures, followed by formulas and examples
  • Explains how to avoid common mistakes in meta–analysis
  • Discusses controversies in meta–analysis
  • Features a web site with additional material and exercises

A superb combination of lucid prose and informative graphics, written by four of the worlds leading experts on all aspects of meta–analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta–analysis. The book is ideal as a course textbook or for self–study. My students, who used pre–publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics.

The approach taken by Introduction to Meta–analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta–analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta–analysis, or pursuing self–directed study, Introduction to Meta–analysis would be a clear first choice. Jesse A. Berlin, ScD 

Introduction to Meta–Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta–analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University

Both books can be recommended for graduate training and are useful additions to the library of those interested in the meta–analytic accumulation of literatures on training, vocational learning, and education in the professions.  (Vocations and Learning, 15 December 2010)

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  • By Healthy Prof on 26 July 2009

    Mata-analysis is becoming one of the major areas of medical research. This book is one of the clearest and most useful books on meta-analysis that I have found. It does not require high standard of statistical know how to follow the main arguments. I particularly liked the way the practical work with all the stats were kept in separate chapters so that they did not interfere with the flow of the description for those less interested in the maths. If you are interested in performing meta-analyses then this book is a must. Over the years I have bought many statistics books and this is the first one I have literally read cover to cover.

  • By SL on 17 November 2013

    The authors have done a superb job of making a complex topic comprehensible to a reader (me) with modest knowledge of statistics and even more modest talents in math. Another reviewer here has called it a 'gem'. I completely agree. I'll only add that anyone wanting to know a bit more about the nuts and bolts of meta-analyzing correlational studies might check out Andy Field's small article 'Bluffer's guide to Meta-analysis', which is (or used to be) available for free on the internet.

  • By Magnus Johnson on 11 April 2010

    I'm just getting into meta-analyses and wanted a book that would lead me by the hand and warn me of any pitfalls to be wary off - this is just the ticket. I don't live and breath statistics and found that while I had to scratch my head a few times the level that this book is at is about right. As with meta-analyses generally the bias is towards medical studies. The text might be enriched by some consideration of ecological data, for example. My only criticism is the fact that the authors have the habit randomly (to me) changing the labels of variables, e.g. z becomes M for no apparent reason. When I am sweating over a novel principle the last thing I want to have to worry about is remembering that what was once z is now M and may in subsequent pages become p. This small niggle aside, this book is a good investment.

  • By Oladele B. Akogun on 18 August 2012

    It is extremely user-friendly for use and for teaching those who will use it at various levels including, surprisingly, undergraduates.

  • By petterM on 11 October 2011

    Nice and easy style with several worked through examples. A rare gem. The only thing I find to be missing is a link to packages like R.

  • By Anna Grana on 5 August 2015

    Interesting book, rigorous and complete text

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