A review of integrated QCA and statistical analyses
Johannes Meuer () and
Christian Rupietta
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Johannes Meuer: ETH Zurich
Quality & Quantity: International Journal of Methodology, 2017, vol. 51, issue 5, No 11, 2063-2083
Abstract:
Abstract Systematically combining quantitative and qualitative research approaches offers the potential for a more comprehensive and nuanced understanding of social scientific phenomena. With their strong opportunities for building, qualifying, and testing social scientific theories, methodological integrations thus enable researchers to make substantive contributions that would not have been possible with one method alone. In this article we demonstrate how the integration of Qualitative Comparative Analysis (QCA) and conventional statistical analysis offers researchers new opportunities for contributing to the social sciences. Whereas statistical analysis is variable-oriented and relies on correlational analysis to make comparisons across cases, QCA is based on set theory, is case oriented, and relies on Boolean algebra to make comparisons between cases. Drawing on the literature on the interdependency between theoretical contribution and methodology, we review studies that integrate QCA and statistical analysis to explain how the specific combination of these two approaches allows researchers to strengthen the theoretical contribution of their research. From our review we identify common challenges and provide solutions for integrating QCA and statistical analysis.
Keywords: Qualitative comparative analysis (QCA); Statistical analysis; Methodological integration; Research design (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (10)
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DOI: 10.1007/s11135-016-0397-z
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