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.
General
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