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(More customer reviews)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.
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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. Itsthirty-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:Thechapters 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 methodthe next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysisthe 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.
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