Social and causal complexity in Qualitative Comparative Analysis (QCA) : strategies to account for emergence





Faculty/Professorship: Governance of Complex and Innovative Technological Systems  
Author(s): Gerrits, Lasse; Pagliarin, Sofia 
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2020
Pages: 1-14
Source/Other editions: International journal of social research methodology : IJSRM ; theory & practice, 23 (2020), Published online: 04 Aug 2020.
Language(s): English
DOI: 10.20378/irb-48752
Licence: Creative Commons - CC BY-NC - Attribution - NonCommercial 4.0 International 
URL: https://fis.uni-bamberg.de/handle/uniba/48755
URN: urn:nbn:de:bvb:473-irb-487526
Abstract: 
Qualitative Comparative Analysis (QCA) is said to be a method that can be used to uncover social complexity. However, this complexity is often ‘missing in action’ in actual empirical applications of the method. We aim to rearticulate the properties of social and causal complexity in their relationship to QCA. We first discuss the reasons why this relationship is not fully articulated in the current research. Rooted in a realist understanding of social emergence, we identify four possible strategies to bring social complexity back on focus when performing QCA: the use of thick case descriptions; the opening of the black box of conditions, by stacking and/or by developing them in a grounded manner; the integration of time in the method itself; and the combination of QCA with other, more time-sensitive methods.
SWD Keywords: Qualitativ vergleichende Analyse ; Komplexität
Keywords: Causality, complexity, emergence, qualitative comparative analysis, realism
DDC Classification: 300 Social sciences, sociology & anthropology  
RVK Classification: MR 2000   
Peer Reviewed: Ja
International Distribution: Ja
Document Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/48752
Release Date: 30. October 2020

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