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Goals of This Chapter

After reading this chapter, you should:

  • Understand how key steps of QCA techniques have been dealt with, and concrete difficulties solved, in some selected “real life” applications.
  • Have a more precise view of both “good practices” and inventive ways of using QCA techniques.
  • Be able to read published applications and assess their quality with regard to the key practical steps.

While the majority of QCA applications are csQCA, its two sibling techniques, fuzzy sets and mvQCA, have been rapidly catching up since their respective launchings in 2000 and 2004. The structure of this chapter follows the chronological link between the three techniques. The review of applications using csQCA emphasizes some crucial aspects of the technique, such as dichotomization, the handling of contradictory configurations, and the inclusion of logical remainders. As for fuzzy sets and mvQCA, we have selected both “standard” and technically creative applications. In doing so, our goal is to expose how various scholars have dealt, in practice, with the issues discussed in the previous chapters (see Chapters 2–5).

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