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Configurational Comparative Methods paves the way for an innovative approach to empirical scientific work through a strategy that integrates key strengths of both qualitative (caseoriented) and quantitative (variableoriented) approaches. This firstofitskind text is ideally suited for "smallN" or "intermediateN" research situations, which both mainstream qualitative and quantitative methods find difficult to address. Benot Rihoux and Charles C. Ragin, along with their contributing authors, offer both a basic, comparative research design overview and a technical and handson review of CrispSet QCA (csQCA), MultiValue QCA (mvQCA), and FuzzySet QCA (fsQCA).Key FeaturesDiscusses existing applications in many different fields and disciplines along with stateoftheart coverage of the strengths and limitations of these techniques Demonstrates further inventive ways of using QCA techniques 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). Shows how to perform the technical operations linked to three specific QCA techniques: csQCA, mvQCA, and fsQCA Includes a glossary, an extensive bibliography, and a detailed list of good practices at every stage of the research processIntended AudienceA must for any student or researcher who wants to engage in systematic crosscase comparison in the social and behavioral sciences, the book is ideal for use in upperlevel undergraduate and graduatelevel social science research methods courses.
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