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.

Comparative Research Design: Case and Variable Selection

DirkBerg-SchlosserGisèle DeMeur

Goals of This Chapter

After reading this chapter, you should be able to:

  • Clearly delimit the universe of investigation within which you select your cases, with a key preoccupation in the definition of the outcome of interest
  • Choose the type of research design that is most suited to your needs: “most similar” systems design, “most different” systems design, or a ...
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