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This book is a comprehensive guide to qualitative comparative
analysis (QCA) using R. Using Boolean algebra to implement
principles of comparison used by scholars engaged in the
qualitative study of macro social phenomena, QCA acts as a bridge
between the quantitative and the qualitative traditions. The QCA
package for R, created by the author, facilitates QCA within a
graphical user interface. This book provides the most current
information on the latest version of the QCA package, which
combines written commands with a cross-platform interface.
Beginning with a brief introduction to the concept of QCA, this
book moves from theory to calibration, from analysis to
factorization, and hits on all the key areas of QCA in between.
Chapters one through three are introductory, familiarizing the
reader with R, the QCA package, and elementary set theory. The next
few chapters introduce important applications of the package
beginning with calibration, analysis of necessity, analysis of
sufficiency, parameters of fit, negation and factorization, and the
construction of Venn diagrams. The book concludes with extensions
to the classical package, including temporal applications and panel
data. Providing a practical introduction to an increasingly
important research tool for the social sciences, this book will be
indispensable for students, scholars, and practitioners interested
in conducting qualitative research in political science, sociology,
business and management, and evaluation studies.
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.
This book is a comprehensive guide to qualitative comparative
analysis (QCA) using R. Using Boolean algebra to implement
principles of comparison used by scholars engaged in the
qualitative study of macro social phenomena, QCA acts as a bridge
between the quantitative and the qualitative traditions. The QCA
package for R, created by the author, facilitates QCA within a
graphical user interface. This book provides the most current
information on the latest version of the QCA package, which
combines written commands with a cross-platform interface.
Beginning with a brief introduction to the concept of QCA, this
book moves from theory to calibration, from analysis to
factorization, and hits on all the key areas of QCA in between.
Chapters one through three are introductory, familiarizing the
reader with R, the QCA package, and elementary set theory. The next
few chapters introduce important applications of the package
beginning with calibration, analysis of necessity, analysis of
sufficiency, parameters of fit, negation and factorization, and the
construction of Venn diagrams. The book concludes with extensions
to the classical package, including temporal applications and panel
data. Providing a practical introduction to an increasingly
important research tool for the social sciences, this book will be
indispensable for students, scholars, and practitioners interested
in conducting qualitative research in political science, sociology,
business and management, and evaluation studies.
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