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.

Qualitative Comparative Analysis using Fuzzy Sets (fsQCA)

Charles C.Ragin

Goals of This Chapter

After reading this chapter, you should be able to:

  • Understand key differences between crisp set and fuzzy set logics
  • Calibrate in an informed way the fuzzy-set membership scores for the different conditions
  • See the connection between the multidimensional vector space defined ...
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