2003
DOI: 10.1177/1525822x03257690
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Bridging the Gap between the Qualitative and Quantitative Worlds? A Retrospective and Prospective View on Qualitative Comparative Analysis

Abstract: Qualitative Comparative Analysis (QCA) is both an approach and a technique launched in the late 1980s by Charles C. Ragin as a “middle road” between quantitative and qualitative strategies. This review article is an invitation to take a serious look at QCA while also attempting to correctly assess its potential and limits. First, the article presents QCA as an approach and as a specific technique (and software). Second, it offers a selective overview of QCA applications produced so far, along with an evaluatio… Show more

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Cited by 108 publications
(103 citation statements)
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“…Too often, maximizing explained variation becomes the central focus of the investigation (Lieberson 1985). By contrast, the goal of configurational analysis using set-theoretic methods is to help researchers make sense of their cases (Ragin 1987;Rihoux 2003;Ragin and Rihoux 2004). Calculations of consistency and coverage do and should provide guidance, but the ultimate ''test'' of the results of a configurational analysis is not their consistency or coverage but how well they help researchers make sense of their cases.…”
Section: Resultsmentioning
confidence: 99%
“…Too often, maximizing explained variation becomes the central focus of the investigation (Lieberson 1985). By contrast, the goal of configurational analysis using set-theoretic methods is to help researchers make sense of their cases (Ragin 1987;Rihoux 2003;Ragin and Rihoux 2004). Calculations of consistency and coverage do and should provide guidance, but the ultimate ''test'' of the results of a configurational analysis is not their consistency or coverage but how well they help researchers make sense of their cases.…”
Section: Resultsmentioning
confidence: 99%
“…Ultimately, as recommended by Greckhamer et al (2008), we can consider that these cases constitute a population of relevant cases on downsizing implementation practices in France during the 2000s. Furthermore, the degree of familiarity that we had (primary data) or gained through reading and seeking additional information (secondary data) on each case allowed us to conduct the iterative and creative process inherent to the QCA method through ongoing dialogue between variables and case studies (Rihoux, 2003), as illustrated below.…”
Section: General Features and Benefits Of The Qca Methods For Ir Researchmentioning
confidence: 99%
“…The first limitation is based on the fact that QCA involves dichotomization of data for both the conditions and outcome based on (in most cases) arbitrarily established thresholds; and so, it appears to be a simplification of data which leads to unnecessary loss of information (Bollen, Entwisle, & Alderson, 1993;Goldthorpe, 1997;Rihoux, 2003). However, it is argued that simplification of data through dichotomization helps in the understanding of complexity in comparative social studies (Rihoux, 2003).…”
Section: Limitations Of Qcamentioning
confidence: 99%
“…Despite the fact that any empirical scientific inquiry (qualitative, quantitative or both) necessarily involves some kind of simplification (King, et al, 1994), dichotomization needs to be as much as possible theoretically-informed and in any case, researcher may attempt employing QCA first and then fuzzy sets and compare the results. This can be useful in reducing oversimplification of data and loss of information (Rihoux, 2003).…”
Section: Limitations Of Qcamentioning
confidence: 99%
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