24 research outputs found

    Conditions of intergovernmental armaments cooperation in Western Europe, 1996-2006

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    Defence cooperation between Western European countries has increased considerably since the end of the Cold War. An analytical distinction can be made between political and economic cooperation, the latter having been neglected by political scientists. This study advances the debate on economic cooperation by identifying sources of variation in the European Union (EU)-15 countries' membership rate in cooperative armaments fora aimed at restructuring the demand side of European defence from 1996 to 2006. By combining six models from three different schools of thought, the risk of confirmation bias through intra-paradigmatic reasoning is reduced. At the same time, fuzzy-set analysis opens up the space for data-driven combination effects. Two distinct combinations form sufficient paths leading to high rates of membership. Most importantly, intentions to create collective defence technological and industrial benefits combine with trust in partners' ability and integrity to form an essential combination of conditions for governments to pursue cooperation on armament

    Coincidence analysis: a new method for causal inference in implementation science

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    Background Implementation of multifaceted interventions typically involves many diverse elements working together in interrelated ways, including intervention components, implementation strategies, and features of local context. Given this real-world complexity, implementation researchers may be interested in a new mathematical, cross-case method called Coincidence Analysis (CNA) that has been designed explicitly to support causal inference, answer research questions about combinations of conditions that are minimally necessary or sufficient for an outcome, and identify the possible presence of multiple causal paths to an outcome. CNA can be applied as a standalone method or in conjunction with other approaches and can reveal new empirical findings related to implementation that might otherwise have gone undetected. Methods We applied CNA to a publicly available dataset from Sweden with county-level data on human papillomavirus (HPV) vaccination campaigns and vaccination uptake in 2012 and 2014 and then compared CNA results to the published regression findings. Results The original regression analysis found vaccination uptake was positively associated only with the availability of vaccines in schools. CNA produced different findings and uncovered an additional solution path: high vaccination rates were achieved by either (1) offering the vaccine in all schools or (2) a combination of offering the vaccine in some schools and media coverage. Conclusions CNA offers a new comparative approach for researchers seeking to understand how implementation conditions work together and link to outcomes.publishedVersio

    Parameters of fit and intermediate solutions in multi-value Qualitative Comparative Analysis

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    Multi-value Qualitative Comparative Analysis (mvQCA) is a variant of QCA that continues to exist under the shadow of crisp and fuzzy-set QCA. The lack of support for parameters of fit and intermediate solutions has contributed to this undeserved status. This article introduces two innovations that put mvQCA on a par with its two sister variants. First, consistency and coverage as the two most important parameters of fit are generalized. Second, the concepts of easy and difficult counterfactuals for deriving intermediate solutions are imported. I demonstrate how to leverage these features in the QCA software package for the R environment. For researchers who do not use QCA, I explain how to exploit Veitch-Karnaugh maps instead for solving set-theoretic minimization problems of low to moderate complexity

    Supplemental Material, replication_Thiem_2018_SMR - The Logic and Methodology of “Necessary but Not Sufficient Causality”: A Comment on Necessary Condition Analysis (NCA)

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    <p>Supplemental Material, replication_Thiem_2018_SMR for The Logic and Methodology of “Necessary but Not Sufficient Causality”: A Comment on Necessary Condition Analysis (NCA) by Alrik Thiem in Sociological Methods & Research</p

    Enhancing sensitivity diagnostics for Qualitative Comparative Analysis : A combinatorial approach.

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    Sensitivity diagnostics has recently been put high on the agenda of methodological research into Qualitative Comparative Analysis (QCA). Existing studies in this area rely on the technique of exhaustive enumeration, and the majority of works examine the reactivity of QCA either only to alterations in discretionary parameter values or only to data quality. In this article, we introduce the technique of combinatorial computation for evaluating the interaction effects between two problems afflicting data quality and two discretionary parameters on the stability of QCA reference solutions. In this connection, we challenge a hitherto unstated assumption intrinsic to exhaustive enumeration, show that combinatorial computation permits the formulation of general laws of sensitivity in QCA, and demonstrate that our technique is most efficient

    Still Lost in Translation! A Correction of three Misunderstandings between Configurational Comparativists and Regressional Analysts.

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    Even after a quarter-century of debate in political science and sociology, representatives of configurational comparative methods (CCMs) and those of regressional analytic methods (RAMs) continue talking at cross purposes. In this article, we clear up three fundamental misunderstandings that have been widespread within and between the two communities, namely that (a) CCMs and RAMs use the same logic of inference, (b) the same hypotheses can be associated with one or the other set of methods, and (c) multiplicative RAM interactions and CCM conjunctions constitute the same concept of causal complexity. In providing the first systematic correction of these persistent misapprehensions, we seek to clarify formal differences between CCMs and RAMs. Our objective is to contribute to a more informed debate than has been the case so far, which should eventually lead to progress in dialogue and more accurate appraisals of the possibilities and limits of each set of methods. </jats:p
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