oru.sePublikationer
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Contextual analyses with QCA-methods
Department of Political Science, Åbo Akademi University, Åbo, Finland.
Department of Political Science, Åbo Akademi University, Åbo, Finland.
2014 (English)In: Quality and quantity, ISSN 0033-5177, E-ISSN 1573-7845, Vol. 48, no 6, 3475-3487 p.Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Springer, 2014. Vol. 48, no 6, 3475-3487 p.
Keyword [en]
Contextual analysis; QCA; Comparative multilevel analysis; Fuzzy-set; Interaction
National Category
Political Science
Research subject
Political Science
Identifiers
URN: urn:nbn:se:oru:diva-48048DOI: 10.1007/s11135-013-9968-4ISI: 000343294900035OAI: oai:DiVA.org:oru-48048DiVA: diva2:901104
Available from: 2016-02-06 Created: 2016-02-06 Last updated: 2017-10-18Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Denk, Thomas
In the same journal
Quality and quantity
Political Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 255 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf