Qualitative Comparative Analysis with R: A User?s Guide (SpringerBriefs in Political Science Book 5) (English Edition) - nieuw boek

Boek bevindt zich in het datenbestand sinds 2012-07-10T07:43:04+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-08-04T14:30:30+02:00 (Amsterdam)
ISBN/EAN: 9781461445845

ISBN - alternatieve schrijfwijzen:
1-4614-4584-1, 978-1-4614-4584-5
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: thiem

Gegevens van de uitgever

Auteur: Alrik Thiem; Adrian Dusa
Titel: SpringerBriefs in Political Science; Qualitative Comparative Analysis with R - A User’s Guide
Uitgeverij: Springer; Springer US
99 Bladzijden
Verschijningsjaar: 2012-10-23
New York; NY; US
Taal: Engels
69,54 € (DE)
71,50 € (AT)
77,00 CHF (CH)
Available
XIII, 99 p. 20 illus.

EA; E107; eBook; Nonbooks, PBS / Politikwissenschaft; Politikwissenschaft und politische Theorie; Verstehen; QCA; R; Social Science; data sets; statistical computing; C; Political Science; Society; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Political Science and International Studies; Gesellschaft und Sozialwissenschaften; Soziologie; Sozialforschung und -statistik; BC

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.

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