Using Fuzzy Set Qualitative Comparative Analysis in Social Science Research Abstract

Although the interest in fuzzy set qualitative comparative analysis (fsQCA), which has the potential to reveal asymmetric causal relationships, has gradually increased in the international social sciences literature, the scarcity of researchers using this analysis in Turkey is striking. This article...

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Bibliographic Details
Main Authors: Rabia Çizel, Volkan Aşkun, Beykan Çizel
Format: Article
Language:deu
Published: Istanbul University Press 2022-12-01
Series:İstanbul Üniversitesi Sosyoloji Dergisi
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Online Access:https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/3678A62B8D8B42FD85D5A1F155E4340D
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Summary:Although the interest in fuzzy set qualitative comparative analysis (fsQCA), which has the potential to reveal asymmetric causal relationships, has gradually increased in the international social sciences literature, the scarcity of researchers using this analysis in Turkey is striking. This article has been written to introduce a method that can help Turkish social science researchers obtain richer information from their data in the national social science literature. Rooted in sociology, this method is valuable in terms of showing how both qualitative and quantitative data can be pragmatically handled with a single analysis method. This article provides a comprehensive literature review and a detailed guide on how to use the method through a sample application for readers. In addition, the study analyzes the conditions and outcome configurations that are effective in countries’ global competitiveness using the sample application provided in the research.
ISSN:2667-6931