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The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author’s reference for preparing sound research manuscripts and proposals.
Key features include:
The chapters cover virtually all of the popular classic and emerging quantitative techniques, thus helping reviewers to evaluate a manuscript’s methodological approach and its data analysis. In addition, the volume serves as an indispensable reference tool for those designing their own research.
For ease of use, all chapters follow the same structure:
- the opening page of each chapter defines and explains the purpose of that statistical method
- the next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysis
- the remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion.
Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.
- Sales Rank: #243989 in Books
- Published on: 2010-02-14
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x 1.00" w x 6.90" l, 1.70 pounds
- Binding: Paperback
- 448 pages
Review
"It is thorough, understandable, and extremely useful; it should be on every reviewer's bookshelf."
DAVID L. STREINER
Baycrest Centre and University of Toronto
Toronto, Ontario, Canada
--Journal of Personality Assessment, 93(1), 105-106, 2011
From the Back Cover
"I enthusiastically support this book. I predict it will be used in the same way as the APA's Publication Manual and the Standards for Educational Testing put out jointly by AERA, APA, and NCME." -- Schuyler Huck, University of Tennessee
"This is a book that I would want to have. Anyone reading an article and not understanding a method could consult this book. As well, anyone trying to locate the method for their problems would use this book." -- Bruce Wampold, University of Wisconsin
About the Author
Gregory R. Hancock is Professor and Chair of the Department of Measurement, Statistics, and Evaluation at the U. of Maryland and is Director of their Center for Integrated Latent Variable Research.
Ralph O. Mueller is Professor and Dean of the College of Education, Nursing and Health Professions at the University of Hartford.
Most helpful customer reviews
14 of 14 people found the following review helpful.
Reviewers and Producers of Quantitative Research Need to Have this Book on Their Bookshelf
By Jeffrey A. Greene
This is a tremendously helpful book for reviewers (and producers) of quantitative research in the social sciences. The strengths of this book include the authors and the content, but perhaps more importantly, the book's format. Each chapter concerns a particular methodology or topic, authored by experts in their respective fields. Written in brief, digestible segments, each chapter presents the "state of the art" in a particular statistical methodology or concept (e.g., Osbourne's chapter on correlations describes why Spearman's rank correlation is no longer needed, and the importance of checking for outliers and fringeliers). Yet, the incredibly user-friendly format of each chapter makes this content all the more accessible and useful. Chapters begin with a brief description of the topic, followed by a table listing the key criteria used to evaluate whether the particular statistical technique or concept was applied reasonably. Then, a brief but clear discussion of each criterion is presented. The modular nature of the book, and the chapters themselves, allow reviewers to quickly find needed information regarding techniques, assumptions, and potential confounds. This book cannot take the place of formal training in a particular statistical technique, but for those of us who, years ago, took classes in techniques we have not subsequently used very often, this book is an invaluable reminder of what criteria to attend to, and a good update regarding current thinking in the field. While I think this book is essential for reviewers of research, it would behoove producers of research to use this book as well when they determine what information needs to be included in their manuscripts to clearly convey the adequacy of their methodology.
7 of 7 people found the following review helpful.
Every social sciences researcher should own a copy.
By Rick
I absolutely love this book. As both a producer and reviewer of research in psychology, I have found this book to be invaluable in my work. As the authors indicated in the preface, it's nearly impossible for applied researchers to maintain a high level of expertise and familiarity with *all* of the sophisticated quantitative methods currently in use. For me, this book has served three very important purposes. As a peer reviewer, it has allowed me to comment in a more sophisticated way on methods that I have less familiarity with. The chapters also serve as a great starting point for learning about new methods. Finally, the various chapters are very useful in determining what, as a researcher, you should be thinking about when using these methods. I'd give this book 6 stars if I could. I hope there will be many future editions of this incredible book!
2 of 2 people found the following review helpful.
Very useful
By I Teach Typing
I read and write a lot of papers in bio-statistics and I grabbed this to provide some extra notes when I evaluate papers using methods that I do not typically use. I have read chapters covering methods that I use often, occasionally and things I have never touched and this book does an impressive job covering all of them. I was not expecting survival analyses (something I do every week) in a book slanted toward the social sciences and the coverage is excellent. Other areas that I work on periodically, like inter-rater reliability and agreement, were covered in adequate depth and I was reminded of the things that I need to pay attention to when reading. Finally topics that I never work on, like latent transition analysis, were nicely written and served as a primer and gave good references for me to learn new topics. The checklists covering what you need to look at in new papers are useful and the explanations of the points are generally great. The chapters are surprisingly well cross referenced but in a few places you need to have read a separate chapter in order to appreciate the advice in a second.
This book is great for a broad audience. For students, the page long descriptions of statistical methods and why you would want to bother with them are all excellent. I highly recommend this book for reviewers and also authors trying to figure out what manuscript reviewers will be looking for.
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