Using Fuzzy Set Qualitative Comparative Analysis in Social Science Research

被引:3
作者
Cizel, Rabia [1 ]
Askun, Volkan [2 ]
Cizel, Beykan [3 ]
机构
[1] Akdeniz Univ, IIBF Calisma Ekonomisi Endustri Iliskileri Bolumu, Antalya, Turkey
[2] Akdeniz Univ, Demre Dr Hasan Unal MYO, Antalya, Turkey
[3] Akdeniz Univ, Turizm Fak, Turizm Isletmeciligi Bolumu, Antalya, Turkey
来源
ISTANBUL UNIVERSITESI SOSYOLOJI DERGISI-ISTANBUL UNIVERSITY JOURNAL OF SOCIOLOGY | 2022年 / 42卷 / 02期
关键词
Asymmetric analysis; Qualitative comparative analysis; Cluster theoretical methods; Theory development; Applied data analysis; Mixed methods; Global competitiveness analysis; CONFIGURATIONS; PERFORMANCE; CAUSAL; QCA;
D O I
10.26650/SJ.2022.42.2.0040
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
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.
引用
收藏
页码:549 / 588
页数:40
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