This research note provides technical aspects of qualitative comparative analysis (QCA) for scholars seeking to better understanding the potentiality of the method. The note answers a few frequently asked questions about contrarian case analysis and data calibration and show how to implement these two relevant steps technically and appropriately. This study provides useful details and technical explanations on why and how to turn case data by using contrarian case analysis and how to calibrate data into fuzzy sets.

From dataset to qualitative comparative analysis (QCA)—Challenges and tricky points: A research note on contrarian case analysis and data calibration

Russo, I.;Confente, I.
2019-01-01

Abstract

This research note provides technical aspects of qualitative comparative analysis (QCA) for scholars seeking to better understanding the potentiality of the method. The note answers a few frequently asked questions about contrarian case analysis and data calibration and show how to implement these two relevant steps technically and appropriately. This study provides useful details and technical explanations on why and how to turn case data by using contrarian case analysis and how to calibrate data into fuzzy sets.
2019
Customer loyalty, Contrarian analysis, Data calibration, Fuzzy set, Qualitative comparative analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/990941
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