scholarly journals Structuring the Calibration of Qualitative Data as Sets for Qualitative Comparative Analysis (QCA)

Field Methods ◽  
2012 ◽  
Vol 24 (2) ◽  
pp. 155-174 ◽  
Author(s):  
Xavier Basurto ◽  
Johanna Speer
Author(s):  
Carsten Q. Schneider

Macro-qualitative (MQ) approaches to the study of regime transformation can be defined as those that (a) in order to describe or explain macro-level phenomena (b) predominantly use qualitative data and (c) make claims about these phenomena in terms of set relations. MQ approaches can be static or dynamic and are normally used for single-case or small- to medium-N-sized studies. The set of methods employed in MQ research thus defined ranges from qualitative comparative analysis (QCA) to sequence elaboration and process tracing. Classics in the MQ transformation literature can be interpreted in terms of set theory. For instance, Lipset (1959) famously claimed that there are social conditions that are necessary for the functioning of democracy.


KWALON ◽  
2012 ◽  
Vol 17 (3) ◽  
Author(s):  
Stefan Verweij ◽  
Lasse M. Gerrits

Systematic Qualitative Comparative Analysis Systematic Qualitative Comparative Analysis Qualitative Comparative Analysis (QCA) was introduced in the social sciences by Charles Ragin in 1987. Literature on and applications of QCA show the method as a way to systematically organize, summarize and compare qualitative data to discover and analyze patterns occurring over cases. Although the literature stresses the importance of iterating between theory and data in its procedures, its grounded nature remains relatively underexposed. In this article we illustrate the principles of QCA by means of a qualitative comparative analysis of fourteen Dutch spatial planning projects, thereby also articulating the method’s grounded nature.


Author(s):  
Anthony Onwuegbuzie ◽  
Rebecca Weinbaum

Onwuegbuzie, Leech, and Collins (2012) demonstrated how the following 5 qualitative data analysis approaches can be used to analyze and to synthesize information extracted from a literature review: constant comparison analysis, domain analysis, taxonomic analysis, componential analysis, and theme analysis. In a similar vein, Onwuegbuzie and Frels (2014) outlined how discourse analysis can be used. Thus, the purpose of this article is to provide a framework for using another qualitative data analysis technique to analyze and to interpret literature review sources—a process that we call a Qualitative Comparative Analysis-Based Research Synthesis (QCARS). Using a real review of the literature, we illustrate how to conduct a QCARS using a qualitative comparative analysis software program.


2018 ◽  
Vol 13 (4) ◽  
pp. 503-535 ◽  
Author(s):  
Debora de Block ◽  
Barbara Vis

The use of qualitative data has so far received relatively little attention in methodological discussions on qualitative comparative analysis (QCA). This article addresses this lacuna by discussing the challenges researchers face when transforming qualitative data into quantitative data in QCA. By reviewing 29 empirical studies using qualitative data for QCA, we explore common practices related to data calibration, data presentation, and sensitivity testing. Based on these three issues, we provide considerations when using qualitative data for QCA, which are relevant both for QCA scholars working with qualitative data and the wider mixed methods research community involved in quantitizing.


2020 ◽  
Vol 13 (3) ◽  
pp. 205979912095917
Author(s):  
Sofia Pagliarin ◽  
Lasse Gerrits

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.


2019 ◽  
Vol 12 (2) ◽  
pp. 205979911984098 ◽  
Author(s):  
Andrea J Bingham ◽  
Sean Dean ◽  
Jessica Castillo

In educational policy research, linking specific practices to specific outcomes is an important (though not the only) goal, which can bias researchers (and funders) toward employing purely quantitative methods. Given the context-specific nature of policy implementation in education, however, we argue that understanding how specific practices lead to specific outcomes in specific conditions or contexts is critical to improving education. Qualitative comparative analysis is a method of qualitative research that we argue can help to answer these kinds of questions in studies of educational policies and reforms. Qualitative comparative analysis is a case-oriented research method designed to identify causal relationships between variables and a particular outcome. Distinct from quantitative causal methods, qualitative comparative analysis requires qualitative data to identify conditions (and combinations of conditions) that lead to a particular result; it is context driven, just as many educational reforms must necessarily be. We contend that qualitative comparative analysis has the potential to be of use to educational researchers in investigating complex problems of cause and effect using qualitative data. As such, our aim here is to provide a general overview of the characteristics, processes, and outcomes of qualitative comparative analysis. In so doing, we hope to offer guidance to educational researchers around how and when to use qualitative comparative analysis, as well as recommendations for current educational issues that could be investigated with qualitative comparative analysis.


2010 ◽  
Vol 12 (2) ◽  
pp. 38-58
Author(s):  
Aina Strode

Students' Independent Professional Activity in Pedagogical PracticeThe topicality of the research is determined by the need for changes in higher education concerned with implementing the principles of sustainable education. The article focuses on teacher training, highlighting the teacher's profession as an attractive choice of one's career that permits to ensure the development of general and professional skills and an opportunity for new specialists to align with the labour market. The empirical study of students' understanding of their professional activity and of the conditions for its formation is conducted by applying structured interviews (of practice supervisors, students, academic staff); students and experts' questionnaire. Comparative analysis of quantitative and qualitative data and triangulation were used in case studies. As a result, a framework of pedagogical practice organisation has been created in order to form students' independent professional activity. The criteria and indicators of independent professional activity have been formulated and suggestions for designers of study programmes and organisers of the study process have been provided.


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