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Application of Fuzzy-Set Qualitative Comparative Analysis: : focusing on Y-Test and N-Test Using Stata

Min Kichae 1

1서울대학교

Accredited

ABSTRACT

Quantitative research and qualitative research methods in social science have been trying to complement the disadvantages of the other approach. The fsQCA (Fuzzy-Set Qualitative Comparison Analysis), a fuzzy-set ideal type analysis and fuzzy-set multiple conjunctural causations analysis developed by Charles Ragin as a convergence between quantitative and qualitative methods, has been represented as a methodological breakthrough. This study focused on the utilization of Fuzzy-Set methodology in any case (that is the reason for its use), the software tool's extension from fsQCA 2.0 to the STATA fuzzy module, and applying Y-tests and N-tests to overcome the problems of verification. In addition, specific procedures of fuzzy-set multiple conjunctural causations analysis are presented as demonstration studies. Through theoretical and methodological introduction to fsQCA, despite its limitations, Fuzzy-Set Qualitative Comparison Analysis has become highly utilized in the social sciences.

Citation status

* References for papers published after 2023 are currently being built.