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Practical Meta-Analysis

Practical Meta-Analysis

October 2000 | 264 pages | SAGE Publications, Inc
What research designs and methodological features qualify a study for meta-analysis and which disqualify it? What types of research reports are appropriate for the meta-analysis? What is the cultural and linguistic range of the studies to be included? By integrating and translating the current methodological and statistical work into a practical guide, the authors address these questions to provide readers with a state-of-the-art introduction to the various approaches to doing meta-analysis.
Problem Specification and Study Retrieval
Selecting, Computing and Coding the Effect Size Statistic
Developing a Coding Scheme and Coding Study Reports
Data Management
Analysis Issues and Strategies
Computational Techniques for Meta-Analysis Data
Interpreting and Using Meta-Analysis Results

"A book that describes the steps involved in a meta-analysis in an easy-to-understand format (not just as a cookbook recipe) will be a useful addition to the literature. Practical Meta-Analysis aptly fills this niche."

Chockalingam Viswesvaran

High quality publications and books. Thanks much

Mr selçuk arık
Faculty Of Education, Gaziosmanpasa Universitesi
July 25, 2018

Excellent details and very easy to follow.

Professor Anita Black
Criminal Justice, King College
July 6, 2015

In my course (Advanced statistical methods: Meta-analysis) we are not only reading and discussing particular meta-analyses and methodological issues but we're also conducting a meta-analysis on our own. This book shows the relevant practical steps; how to make a literature search, how to code studies, how to analyze the data, how to interpret the results etc. One author (David Wilson) has developed macros for SPSS, which are used by many researches conducting a meta-analysis. He also developed an online calculator for effect sizes, which is a useful tool for students and scientists. Clearly, he is a good source of information in the field of meta-analysis. The only problem I had with this book was its publication date (2001). Some new estimation methods were developed in the last few years, which obviously couldn't be described in this book (bayesian approach, new packages in R etc.).

Mr Lukasz Stasielowicz
Faculty of Psychology, University of Osnabruck
May 6, 2015

Lipsey & Wilson offer a comprehensive and detailed explanation of the different ingredients implicated in Meta-Analysis. The book is written in a very friendly pedagogical style.

Dr Guillermo Perez Algorta
Division of Health and Research, Lancaster University
January 16, 2015

The book gives essential information about how to conduct meta-analysis in a comprehensive way. It covers all necessary aspects. I used it as additional literature as I expect it to be too detailed in an introductory course for undergraduate students.

Mr Michael Koenig
Innovationsinkubator, Leuphana Universitat Luneburg
May 7, 2014

A very useful text for those interested in knowing more on the new developments of applied statistics. The authors explain key concepts of meta-analysis in a comprehensive way and provide the reader with a clear guide to carry out meta-analysis and interpret results. I have found appendices, macros and examples very useful.

Psychology, Universidad a Distancia de Madrid (UDIMA)
March 18, 2014

I decided not to use the book in my class, but bought it as a personal reference and to augment the text that will be used in the class

Dr David Hampton
Special Education, Bowling Green State University
February 14, 2013

Did not cover e content in enough detail to justify cost

Dr Kelly Conn
College of Professional Studies, Northeastern University
October 15, 2012

Practical meta-analysis consists of eight chapters which introduce the reader to the steps involved in carrying out a meta-analysis and is suitable for anyone undertaking a quantitative systematic approach to retrieving, coding and analysing the results of quantitative research reports. This book covers the suitability of meta-analysis in terms of when and where to use a meta-analysis, as well as the strengths and weaknesses of conducting a meta-analysis. The text also discusses the importance of developing problem specifications and issues associated with study retrieval, as well as identifying, locating and retrieving research reports and selecting, computing, and coding the effect size statistic. This is essential reading for researchers new to undertaking a quantitative meta-analysis as the book is well written and laid out in terms of its structure for undergraduate and postgraduate students seeking a small compact practical guide for undertaking social science literature research. Status: Essential reading.

Mr Gary McKenna
School of Computing, University of the West of Scotland
October 7, 2012

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