Qualitative Comparative Analysis

Author(s):  
Kevin Kalomeni ◽  
Claudius Wagemann

This chapter examines qualitative comparative analysis (QCA), which strives to bridge the methodological rift between case study-based research and quantitative studies. QCA belongs to the broader family of configurational comparative methods (CCMs). From an analytical perspective, QCA can be distinguished from quantitative approaches. The emphasis shifts from covariance to the analysis of set relations. Being strongly tied to a profound theoretical and conceptual reasoning which is typical for comparison in general, the analysis of set relations is based on three steps: first, a score is attributed to a social phenomenon (representing either a dichotomous or a graded set membership), usually in relation to other phenomena. Second, necessary conditions are defined. Third, through the help of a truth table analysis, (combinations of) sufficient conditions are analysed.

2018 ◽  
Vol 13 (2) ◽  
pp. 31-46 ◽  
Author(s):  
Jasmin Hasić

How are diaspora involvement in peacebuilding and elite cooperation in multi-ethnic municipalities complementary? This article examines how local elites perceive and respond to conflict-generated diaspora's role in peacebuilding in nine post-conflict multi-ethnic municipalities of Bosnia and Herzegovina, and whether these perceptions can determine types of inter-ethnic cooperation within local institutions. Using a systematic comparative case study analysis utilising ideal-type fuzzy set qualitative comparative analysis (QCA), I derive four types of relationships. The results indicate that local elites, experiencing various levels of direct and indirect interaction with diaspora communities, perceive diaspora's role in the process as constraining their own cooperation prospects. The analysis also demonstrates that local elites perceive diaspora as insufficiently competent and imperfectly coordinated to tackle major challenges in local peacebuilding frameworks and that diaspora actions do not significantly affect the reform of current dynamics and practices of intra-ethnic cooperation among elites.


KWALON ◽  
2015 ◽  
Vol 20 (3) ◽  
Author(s):  
Valérie Pattyn ◽  
Lasse Gerrits ◽  
Stefan Verweij

Qualitative Comparative Analysis: more associated with the qualitative research tradition than with the quantitative approach Qualitative Comparative Analysis: more associated with the qualitative research tradition than with the quantitative approach Qualitative Comparative Analysis (QCA) is an approach that enables systematically comparing qualitative case study data. The fact that QCA borrows certain elements from quantitative methods (such as the use of Boolean algebra and the quantification of conditions and outcomes) may raise questions about the qualitative character of QCA. Based on a discussion of four criteria relating to causal analysis, we argue that QCA belongs to the qualitative research tradition. Where QCA borrows characteristics from the quantitative approach, this is only for the sake of a qualitative objective: to better understand the conditions underlying a particular outcome or phenomenon.


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.


Author(s):  
Demissie Damite Degato

The traditional approach to innovation assessment has mainly focused on the economic outcomes and failed to capture the ecological and social dimensions of sustainability. By giving high attention to the role of specific kind of innovation (technological innovation), there is little empirical work on whether combining different kinds of innovation leads to progress in social-ecological sustainability in developing countries. The sustainability orientation in the assessment of innovation performance becomes increasingly important for achieve successful transformation towards sustainability. The research question of this study is under what condition or combination of conditions the intervention for innovation reconciles the trade-offs between socioeconomic and ecological performance and thus improve progress towards sustainability in poor countries. Combing concepts and methods from literature on strategic corporate social responsibility (CSR), value chain upgrading, sustainability, and technological capability, this study identifies different mechanisms and conditions for building innovation capacity and then empirically evaluates the relationship between the degree of innovation capacity and the progress towards social-ecological sustainability by taking four cases from Ethiopia. The data for this study is collected using key informant interviews, focus group discussion, and biodiversity and innovation scorecard questionnaire. Mixed methods combing comprehensive fuzzy evaluation, biodiversity scorecard and qualitative comparative analysis are used for analysis. The study found that combing value chain innovation and green governance innovation either with technological upgrading or innovation platform learning are sufficient conditions for achieving social-ecological sustainability. We also found that innovation in green governance and in value chain are necessary conditions for sustainability. By developing and applying fuzzy comprehensive evaluation model for measuring innovation capacity and fuzzy set qualitative comparative analysis for identifying necessary and sufficient conditions for sustainability, this study made an important methodological contribution to existing literature.


2018 ◽  
Vol 26 (1) ◽  
pp. 72-89 ◽  
Author(s):  
Ingo Rohlfing

In Qualitative Comparative Analysis (QCA), empirical researchers use the consistency value as one, if not sole, criterion to decide whether an association between a term and an outcome is consistent with a set-relational claim. Braumoeller (2015) points out that the consistency value is unsuitable for this purpose. We need to know the probability of obtaining it under the null hypothesis of no systematic relation. He introduces permutation testing for estimating the $p$ value of a consistency score as a safeguard against false positives. In this paper, I introduce permutation-based power estimation as a safeguard against false-negative conclusions. Low power might lead to the false exclusion of truth table rows from the minimization procedure and the generation and interpretation of invalid solutions. For a variety of constellations between an alternative and null hypothesis and numbers of cases, simulations demonstrate that power estimates can range from 1 to 0. Ex post power analysis for 63 truth table analyses shows that even under the most favorable constellation of parameters, about half of them can be considered low-powered. This points to the value of estimating power and calculating the required number of cases before the truth table analysis.


2021 ◽  
pp. 1-30
Author(s):  
Matthias Duller

Abstract Using Qualitative Comparative Analysis, this article presents a systematic comparison of differences in the institutional success of sociology in 25 European countries during the academic expansion from 1945 until the late 1960s. Combining context-sensitive national histories of sociology, concept formation, and formal analyses of necessary and sufficient conditions, the article searches for historical explanations for both successful and inhibited processes of the institutionalization of sociology. Concretely, it assesses the interplay of political regime types, the continuous presence of sociological prewar traditions, political Catholicism, and the effects of sociological communities in neighboring countries and how their various combinations are related to more or less well-established sociologies. The results can help explain adversary effects under democratic conditions as well as supportive factors under nondemocratic conditions.


2022 ◽  
Vol 2159 (1) ◽  
pp. 012005
Author(s):  
L E Ramírez-Carvajal ◽  
K Puerto-López ◽  
S Castro-Casadiego

Abstract A computational tool for learning electrostatic physics is presented through the development of a disruptive methodology. The tool allows the analysis of case studies based on Coulomb’s law, Gauss’s law, Poisson’s equation, and Laplace’s equation with boundary value. The tool was tested using reference exercises for each case study, making use of quantitative and qualitative comparative analysis between the traditional mathematical development and the computational tool. Errors were measured using Likert scale. The quantitative results showed errors of less than 1.8% in all the cases studied, concluding that the tool is effective. The qualitative results showed that the methodology allows a better development of the electrostatics learning process, dynamizing the study of complex topics such as electromagnetic physics theories through interactivity and technological resources, in addition to having a theoretical module developed using agile methodologies that provide dynamism and an intuitive environment to the interface.


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