scholarly journals Regime and Sociology: A Comparative History of Sociology in Postwar Europe with Qualitative Comparative Analysis

2021 ◽  
pp. 1-30
Author(s):  
Matthias Duller
Keyword(s):  
Comparative Analysis ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Political Regime ◽  
Context Sensitive ◽  
Postwar Europe ◽  
Regime Types ◽  
History Of ◽  
Continuous Presence ◽  
Necessary And Sufficient

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.

Aggregation Bias and the Analysis of Necessary and Sufficient Conditions in fsQCA

2016 ◽  
Vol 46 (2) ◽  
pp. 242-251 ◽  
Author(s):  
Bear F. Braumoeller
Keyword(s):  
Social Sciences ◽  
Comparative Analysis ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Necessary And Sufficient Conditions ◽  
Aggregation Bias ◽  
Data Sets ◽  
The Social ◽  
Necessary And Sufficient ◽  
Causal Complexity

Fuzzy-set qualitative comparative analysis (fsQCA) has become one of the most prominent methods in the social sciences for capturing causal complexity, especially for scholars with small- and medium- N data sets. This research note explores two key assumptions in fsQCA’s methodology for testing for necessary and sufficient conditions—the cumulation assumption and the triangular data assumption—and argues that, in combination, they produce a form of aggregation bias that has not been recognized in the fsQCA literature. It also offers a straightforward test to help researchers answer the question of whether their findings are plausibly the result of aggregation bias.

scholarly journals The Qualitative Comparative Analysis: An Overview of a Causal Complexity Approach

2021 ◽  
Vol 92 ◽  
pp. 08020
Author(s):  
Monika Smela
Keyword(s):  
Comparative Analysis ◽  
Causal Explanation ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Value Added ◽  
Quantitative And Qualitative Research ◽  
Qualitative Approaches ◽  
Global Affairs ◽  
Necessary And Sufficient ◽  
Causal Complexity

Research background: Alongside with the development of configurative comparative analysis aiming at identification of necessary and sufficient conditions, various formal methods used for this purpose have been formulated during the last decades. One of them is qualitative comparative analysis (QCA), one of approaches used for causal explanation of phenomena of cases performed in the field of international economics and global affairs. Purpose of the article: The main purpose of the article is to provide a detailed overview of the QCA method in global context, to define its methodologic foundations and consequently introduce the key concepts of the method. The article also provides a comparison of QCA to typical tools of qualitative and quantitative approaches. On the basis of this part, both pros and cons of QCA are derived. Methods: Basically, the methods of analysis, deduction and comparison are used to fulfil the purpose of the article. The existing and available papers and books coping with the topic of QCA and its position among other research methods are reviewed to provide an overview on the selected method. Findings & Value added: The QCA is a method based on analysing stated relations. It bridges the quantitative and qualitative research and reveals certain patterns based on causal complexity principles, however, it is done regarding heterogeneity and diversity of individual researched cases. It is a method applicable to the middle number of cases, it means too few cases for statistical methods on the other hand too many cases for typical qualitative approaches.

Conditions for the Introduction of Regulation for Short-Term Rentals

2021 ◽  
Vol 8 (1) ◽  
pp. 159-170
Author(s):  
Vilim Brezina ◽  
◽  
Jan Polívka ◽  
Martin Stark ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Housing Market ◽  
Housing Stock ◽  
Qualitative Comparative Analysis ◽  
Short Term ◽  
Market Conditions ◽  
Qualitative And Quantitative ◽  
Market Situation ◽  
Necessary And Sufficient ◽  
German Cities

Most cities in major agglomerations in Europe started to address the rise of short-term accommodation rentals by introducing regulation designed to protect the local housing stock. The momentum behind the widespread introduction of such regulations can be attributed to qualitative and quantitative factors. This article examines selected fields related to short-term rentals in order to uncover the (structural) triggers or conditions that are necessary and sufficient for municipalities to initiate the regulation of their housing market. The study is based on the systematic examination of the effects of those triggers and their combinations using qualitative comparative analysis (QCA). With this method, we explore the implementation or non-implementation of regulation on a sample of major German cities. The results suggest a universal set of conditions covering three central fields: housing market situation, accommodation market conditions and tourism accommodation demand.

scholarly journals Innovation and paths to social-ecological sustainability

2017 ◽  
Vol 8 (2) ◽  
pp. 3
Author(s):  
Demissie Damite Degato
Keyword(s):  
Comparative Analysis ◽  
Value Chain ◽  
Qualitative Comparative Analysis ◽  
Empirical Work ◽  
Sufficient Conditions ◽  
Ecological Sustainability ◽  
Social Ecological ◽  
Trade Offs ◽  
Innovation Capacity ◽  
Green Governance

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.

The Popularization of Political Communication

2019 ◽  
Vol 10 (1) ◽  
pp. 12-34
Author(s):  
Diego Ceccobelli
Keyword(s):  
Comparative Analysis ◽  
Political Communication ◽  
Political Institutions ◽  
Communicative Action ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Political Actors ◽  
Media System ◽  
Definition Of ◽  
High Level

This article presents and adopts a new definition of the popularization of political communication, which is defined as a strategic communicative action through which political actors try to create new connections with those citizens who do not still know, follow and support them and to emotionally strengthen the political bond with their current sympathizers. Second, a comparative analysis of the Facebook pages of the main political leaders of 31 countries shows that the popularization of political communication is a relevant phenomenon on Facebook, while a qualitative comparative analysis (QCA) indicates that the presence of a presidential system, a high digitalization of the media system, and a high level of trust in political institutions are three sufficient conditions for a “pop” communication on Facebook. Finally, the article identifies and discusses its main properties and development under the current hybrid media system.

Perceived value, satisfaction and future intentions in sport services

2019 ◽  
Vol 32 (4) ◽  
pp. 566-579 ◽  
Author(s):  
Mario Alguacil ◽  
Juan Núñez-Pomar ◽  
Carlos Pérez-Campos ◽  
Vicente Prado-Gascó
Keyword(s):  
Linear Models ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Perceived Value ◽  
Hierarchical Regression ◽  
Brand Trust ◽  
Predictive Capability ◽  
Content Type ◽  
Necessary And Sufficient

Purpose The purpose of this paper is to analyze the role of brand-related variables as congruence and brand trust on the traditional model formed by perceived quality, perceived value (PV) and satisfaction, in order to compare predictive models for the variables of PV, satisfaction and future intentions of 683 users of sports services. Design/methodology/approach The analysis has been carried out using two different methodologies. First, three models have been proposed to be analyzed by hierarchical regression models, in order to subsequently propose a fuzzy-set qualitative comparative analysis (fsQCA) to verify the existence or not of necessary and sufficient conditions. Findings The results indicate that both the classic service variables and the elements related to the brand significantly predict PV, satisfaction and future intentions, in some cases with greater predictive weight being given to congruence and trust than the classic service variables. In addition, linear models have been shown to improve their predictive capability by including brand-related variables, especially the future intentions model. After the fsQCA, congruence and trust have proved to be sufficient combinations to achieve high levels of PV and future intentions, while this is not the case for satisfaction. Originality/value The importance of the aspects related to the brand, either on their own or in combination with the classic service variables, is demonstrated, contributing to the literature on brand image in sports services, which is practically non-existent.

Qualitative Comparative Analysis

2021 ◽  
pp. 229-232
Author(s):  
Kevin Kalomeni ◽  
Claudius Wagemann
Keyword(s):  
Comparative Analysis ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Quantitative Studies ◽  
Set Membership ◽  
Conceptual Reasoning ◽  
Analytical Perspective ◽  
Table Analysis ◽  
Set Relations

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.

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