Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques 2009
DOI: 10.4135/9781452226569.n2
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Comparative Research Design: Case and Variable Selection

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Cited by 139 publications
(79 citation statements)
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“…The QCA method, however, is not exclusively inductive in nature. Rather, it is a "theory-driven approach to empirical observation" (Sager and Andereggen, 2012) or an analytic induction (Rihoux and Lobe, 2009): knowledge is generated through a dialogue with data, but theory is used to select the relevant variables, a qualitative comparative analysis of 20 cases in france operationalize them, and make other decisions in the QCA process (Berg-Schlosser and De Meur, 2009;Sager and Andereggen, 2012). The method is expected to trigger new knowledge and new insights, building new segments of theory (Fiss, 2007).…”
Section: General Features and Benefits Of The Qca Methods For Ir Researchmentioning
confidence: 99%
“…The QCA method, however, is not exclusively inductive in nature. Rather, it is a "theory-driven approach to empirical observation" (Sager and Andereggen, 2012) or an analytic induction (Rihoux and Lobe, 2009): knowledge is generated through a dialogue with data, but theory is used to select the relevant variables, a qualitative comparative analysis of 20 cases in france operationalize them, and make other decisions in the QCA process (Berg-Schlosser and De Meur, 2009;Sager and Andereggen, 2012). The method is expected to trigger new knowledge and new insights, building new segments of theory (Fiss, 2007).…”
Section: General Features and Benefits Of The Qca Methods For Ir Researchmentioning
confidence: 99%
“…When particular cases can be chosen from a larger population, Berg-Schlosser and De Meur [16] offer other strategies and best practices for choosing cases. Unless the number of cases relies on an existing population (i.e., 30 programs or grantees), the outcome of interest and existing theory drive case selection, unlike variableoriented research [3,4] in which numbers are driven by statistical power considerations and depend on variation in the dependent variable.…”
Section: Identify Casesmentioning
confidence: 99%
“…Conditions (or "sets" or "condition sets") refer to the explanatory factors in a model; they are similar to variables. Because QCA 16-100) number of cases, one should aim for fewer than five conditions because in QCA a researcher assesses all possible configurations of conditions. Adding conditions to the model increases the possible number of combinations exponentially (i.e., 2 k , where k=the number of conditions).…”
Section: Identify Conditions and Outcome Setsmentioning
confidence: 99%
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