Configurational Comparative Methods 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.
Benoit 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).
Key Features
Discusses existing applications in many different fields and
disciplines along with state-of-the-art coverage of the strengths
and limitations of these techniquesDemonstrates further inventive
ways of using QCA techniquesProvides 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).Shows how to perform the
technical operations linked to three specific QCA techniques:
csQCA, mvQCA, and fsQCAIncludes a glossary, an extensive
bibliography, and a detailed list of good practices at every stage
of the research process
Intended Audience
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.
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