Libreria Universitaria Unilibro






















Configurational Comparative Methods








Configurational Comparative Methods
Author
Ragin Charles C. (EDT), Rihoux Benoit (EDT)
Configurational Comparative Methods su Unilibro.it
Publisher
Sage Pubns
Isbn
1412942357
EAN
9781412942355
Pub. date
14 Aug 08
Collection
Sage Pubns (Paperback)
Classification
SOCIAL SCIENCE
Pages
209
Price
€ 39,10





Book (italiano):
<p><b>Configurational Comparative Methods</b> paves the way for an innovative approach to empirical scientific work through a strategy that integrates key strengths of both qualitative (case-oriented) and quantitative (variable-oriented) approaches. This first-of-its-kind text is ideally suited for "small-N" or "intermediate-N" research situations, which both mainstream qualitative and quantitative methods find difficult to address. Benoît Rihoux and Charles C. Ragin, along with their contributing authors, offer both a basic, comparative research design overview and a technical and hands-on review of Crisp-Set QCA (csQCA), Multi-Value QCA (mvQCA), and Fuzzy-Set QCA (fsQCA).</p><p></p><p><b>Key Features</b></p><p></p><ul><li>Discusses existing applications in many different fields and disciplines along with state-of-the-art coverage of the strengths and limitations of these techniques</li><li>Demonstrates further inventive ways of using QCA techniques</li><li>Provides advice on how to develop a comparative research design (case and variable selection) as well as a specific technique called MSDO/MDSO (most similar, different outcome/most different, same outcome).</li><li>Shows how to perform the technical operations linked to three specific QCA techniques: csQCA, mvQCA, and fsQCA</li><li>Includes a glossary, an extensive bibliography, and a detailed list of good practices at every stage of the research process</li></ul><p></p><p><b>Intended Audience</b></p><p></p><p>A must for any student or researcher who wants to engage in systematic cross-case comparison in the social and behavioral sciences, the book is ideal for use in upper-level undergraduate and graduate-level social science research methods courses.</p><p></p>


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