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Contextual analyses with QCA-methods
Department of Political Science, Åbo Akademi University, Åbo, Finland.
Department of Political Science, Åbo Akademi University, Åbo, Finland.
2014 (engelsk)Inngår i: Quality and quantity, ISSN 0033-5177, E-ISSN 1573-7845, Vol. 48, nr 6, s. 3475-3487Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Contextual analyses are essential in comparative research, as they investigate the importance of contextual conditions for causal relationships. During the last decades, an increasing number of comparative studies have also focused on how contextual conditions affect causal relationships. At the same time, new comparative methods have been developed based on set-theoretical logics. Two of the most prominent methods are csQCA and fsQCA, which are used in comparative studies with increasing frequency. However, the conventional design for contextual analysis is still based on quantitative methods and the use of interaction-factors. This article discusses why the use of interaction-factors is not suitable together with QCA-methods. Instead of the conventional design, the article presents an alternative design for contextual analyses with QCA-methods grounded on subgroup-design. Based on one recently-developed methodology comparative multilevel analysis (CMA), some guidelines for performing contextual analyses with two set-theoretical methods (csQCA and fsQCA) are presented. As illustrated with examples, the combination of CMA and QCA provides opportunities to use QCA for contextual analysis.

sted, utgiver, år, opplag, sider
Springer, 2014. Vol. 48, nr 6, s. 3475-3487
Emneord [en]
Contextual analysis; QCA; Comparative multilevel analysis; Fuzzy-set; Interaction
HSV kategori
Forskningsprogram
Statskunskap
Identifikatorer
URN: urn:nbn:se:oru:diva-48048DOI: 10.1007/s11135-013-9968-4ISI: 000343294900035OAI: oai:DiVA.org:oru-48048DiVA, id: diva2:901104
Tilgjengelig fra: 2016-02-06 Laget: 2016-02-06 Sist oppdatert: 2017-10-18bibliografisk kontrollert

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