Qualitative Comparative Analysis with R

A User’s Guide

  • Alrik Thiem
  • Adrian Duşa

Part of the SpringerBriefs in Political Science book series (BRIEFSPOLITICAL, volume 5)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Alrik Thiem, Adrian Duşa
    Pages 1-4
  3. Alrik Thiem, Adrian Duşa
    Pages 5-26
  4. Alrik Thiem, Adrian Duşa
    Pages 27-50
  5. Alrik Thiem, Adrian Duşa
    Pages 51-81
  6. Alrik Thiem, Adrian Duşa
    Pages 83-92
  7. Back Matter
    Pages 93-99

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.


QCA R Social Science data sets statistical computing

Authors and affiliations

  • Alrik Thiem
    • 1
  • Adrian Duşa
    • 2
  1. 1.Swiss Federal Institute of TechnologyZurichSwitzerland
  2. 2., Department of SociologyUniversity of BucharestBucharestRomania

Bibliographic information

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