rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Qualitative Comparative Analysis with R
    sub title: A User’s Guide
  name:
    name part: Thiem, Alrik.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Duşa, Adrian.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 99 p. 20 illus. online resource.
  abstract: 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.
  table of contents: 1.Loading Neccessary Packages -- 2. Reading Data into R -- 3. Testing for Neccessity -- 4. Testing for Sufficiency 5 -- Sufficiency: Parameters of Fit 6 -- Plotting Results.
  note: by Alrik Thiem, Adrian Duşa.
  subject:
    topic: Political science
  subject:
    topic: Statistics
  subject:
    topic: Social sciences
  subject:
    topic: Political Science and International Relations
  subject:
    topic: Political Science
  subject:
    topic: Social Sciences, general
  subject:
    topic: Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  classification: JA1-92
  classification: 320
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Political Science, 5
  identifier: 9781461445845
  identifier: http://dx.doi.org/10.1007/978-1-4614-4584-5
  record info:
    record creation date: 120831
    record change date: 20151204170254.0
    record identifier: 978-1-4614-4584-5