Trajectory-based Qualitative Comparative Analysis : Accounting for case-based time dynamics





Faculty/Professorship: Governance of Complex and Innovative Technological Systems  
Author(s): Pagliarin, Sofia ; Gerrits, Lasse
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2020
Pages: 1-11
Source/Other editions: Methodological innovations, 13 (2020) 3, first Published September 27, 2020
Language(s): English
DOI: 10.20378/irb-48753
Licence: Creative Commons - CC BY-NC - Attribution - NonCommercial 4.0 International 
URL: https://fis.uni-bamberg.de/handle/uniba/48756
URN: urn:nbn:de:bvb:473-irb-487539
Abstract: 
Qualitative comparative analysis was initially time-agnostic, but efforts to make the method more time-sensitive have been made since the mid-2000s. These attempts mainly focus on cross-case differences, accounting for change over time at the level of attributes or conditions. While useful, they cannot account for the fact that individual cases also develop over time. As such, strategies regarding ‘within-case’ development have remained under-theorized in qualitative comparative analysis (QCA). To address this gap, we propose trajectory-based qualitative comparative analysis (TJ-QCA) building on the logic of the diversity-oriented approach: meaningful within-case change is carefully defined in terms of development stages that capture qualitative case-based change patterns. We conceptualize configurations dynamically so that they express different development stages. Theoretically, our method is rooted in a complexity-informed understanding of cases describing trajectories through the property space. Trajectory-based qualitative comparative analysis works with both numerical and qualitative data. We will illustrate the method empirically by re-elaborating a well-known published time-sensitive qualitative comparative analysis study.
SWD Keywords: Qualitativ vergleichende Analyse ; Längsschnittuntersuchung
Keywords: Trajectory, complexity, configurations, longitudinal, time-series, qualitative methods
DDC Classification: 300 Social sciences, sociology & anthropology  
RVK Classification: MR 2000   
Peer Reviewed: Ja
International Distribution: Ja
Open Access Journal: Ja
Document Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/48753
Release Date: 2. November 2020

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