Overview
- Offers first complete introduction on how to conduct QCA in the R software environment for statistical computing and graphics
- Using the QCA package, illustrates how to perform csQCA, mvQCA and fsQCA, including the graphical visualization of results
- Introduces new theoretical concepts and procedures, including parameters of fit and intermediate solutions for mvQCA
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Political Science (BRIEFSPOLITICAL, volume 5)
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About this book
Social science theory often builds on sets and their relations. Correlation-based methods of scientific enquiry, however, use linear algebra and are unsuited to analyzing set relations. The development of Qualitative Comparative Analysis (QCA) by Charles Ragin has given social scientists a formal tool for identifying set-theoretic connections based on Boolean algebra. As a result, interest in this method has markedly risen among social scientists in recent years. This book offers the first complete introduction on how to perform QCA in the R software environment for statistical computing and graphics with the QCA package. Developed as a comprehensive solution, QCA provides an unprecedented scope of functionality for analyzing crisp, multi-value and fuzzy sets. The reader is not required to have knowledge of R, but the book assumes an understanding of the fundamentals of QCA. Using examples from published work, the authors demonstrate how to make the most of QCA’s wide-ranging capabilities for the reader’s own purposes. Although mainly written for political scientists, this book is also of interest to scholars from other disciplines in the social sciences such as sociology, business, management, organization, anthropology, education and health.
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Table of contents (5 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Qualitative Comparative Analysis with R
Book Subtitle: A User’s Guide
Authors: Alrik Thiem, Adrian Duşa
Series Title: SpringerBriefs in Political Science
DOI: https://doi.org/10.1007/978-1-4614-4584-5
Publisher: Springer New York, NY
eBook Packages: Humanities, Social Sciences and Law, Political Science and International Studies (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-1-4614-4583-8Published: 01 September 2012
eBook ISBN: 978-1-4614-4584-5Published: 23 October 2012
Series ISSN: 2191-5466
Series E-ISSN: 2191-5474
Edition Number: 1
Number of Pages: XIII, 99
Number of Illustrations: 20 b/w illustrations
Topics: Political Science, Social Sciences, general, Statistics for Social Sciences, Humanities, Law