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.

Multi-Value QCA (mvQCA)


Goals of This Chapter

After reading this chapter, you should be able to do the following:

  • Reflect on the limitations of using dichotomized conditions and on the potential advantages of using multi-value conditions
  • Read and use the specific mvQCA notation; grasp the basics of multivalue minimization
  • Make informed choices regarding threshold values
  • Replicate a standard mvQCA procedure, step by step, using the software ...
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