Academic literature on the topic 'Qualitative comparative method (QCA)'

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Journal articles on the topic "Qualitative comparative method (QCA)"

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Potocki, Przemysław, and Izabela Lassota. "Jakościowa analiza porównawcza (QCA) jako nowa metoda badawcza w nauce o polityce: zarys zagadnienia." Studia Politologiczne, no. 59/2021 (March 31, 2021): 99–124. http://dx.doi.org/10.33896/spolit.2021.59.5.

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The article presents main theoretical assumptions and empirical implementations of Qualitative Comparative Analysis (QCA). The main phases of this research method, as the alternative to the quantitative approach which is applied in political science are described. Strengths and weaknesses of this method are described from the perspective of epistemological value obtained by the user of QCA method. Some Polish and foreign examples of QCA implementation are also indicated.
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Thiem, Alrik. "Conducting Configurational Comparative Research With Qualitative Comparative Analysis." American Journal of Evaluation 38, no. 3 (2016): 420–33. http://dx.doi.org/10.1177/1098214016673902.

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The search for necessary and sufficient causes of some outcome of interest, referred to as configurational comparative research, has long been one of the main preoccupations of evaluation scholars and practitioners. However, only the last three decades have witnessed the evolution of a set of formal methods that are sufficiently elaborate for this purpose. In this article, I provide a hands-on tutorial for qualitative comparative analysis (QCA)—currently the most popular configurational comparative method. In drawing on a recent evaluation of patient follow-through effectiveness in Lynch syndr
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Baumgartner, Michael, and Alrik Thiem. "Often Trusted but Never (Properly) Tested: Evaluating Qualitative Comparative Analysis." Sociological Methods & Research 49, no. 2 (2017): 279–311. http://dx.doi.org/10.1177/0049124117701487.

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To date, hundreds of researchers have employed the method of Qualitative Comparative Analysis (QCA) for the purpose of causal inference. In a recent series of simulation studies, however, several authors have questioned the correctness of QCA in this connection. Some prominent representatives of the method have replied in turn that simulations with artificial data are unsuited for assessing QCA. We take issue with either position in this impasse. On the one hand, we argue that data-driven evaluations of the correctness of a procedure of causal inference require artificial data. On the other ha
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Smela, Monika. "The Qualitative Comparative Analysis: An Overview of a Causal Complexity Approach." SHS Web of Conferences 92 (2021): 08020. http://dx.doi.org/10.1051/shsconf/20219208020.

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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 foundat
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Marx, Axel, Benoît Rihoux, and Charles Ragin. "The origins, development, and application of Qualitative Comparative Analysis: the first 25 years." European Political Science Review 6, no. 1 (2013): 115–42. http://dx.doi.org/10.1017/s1755773912000318.

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A quarter century ago, in 1987, Charles C. Ragin published The Comparative Method, introducing a new method to the social sciences called Qualitative Comparative Analysis (QCA). QCA is a comparative case-oriented research approach and collection of techniques based on set theory and Boolean algebra, which aims to combine some of the strengths of qualitative and quantitative research methods. Since its launch in 1987, QCA has been applied extensively in the social sciences. This review essay first sketches the origins of the ideas behind QCA. Next, the main features of the method, as presented
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de Block, Debora, and Barbara Vis. "Addressing the Challenges Related to Transforming Qualitative Into Quantitative Data in Qualitative Comparative Analysis." Journal of Mixed Methods Research 13, no. 4 (2018): 503–35. http://dx.doi.org/10.1177/1558689818770061.

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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 work
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Braumoeller, Bear F. "Guarding Against False Positives in Qualitative Comparative Analysis." Political Analysis 23, no. 4 (2015): 471–87. http://dx.doi.org/10.1093/pan/mpv017.

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The various methodological techniques that fall under the umbrella description of qualitative comparative analysis (QCA) are increasingly popular for modeling causal complexity and necessary or sufficient conditions in medium-N settings. Because QCA methods are not designed as statistical techniques, however, there is no way to assess the probability that the patterns they uncover are the result of chance. Moreover, the implications of the multiple hypothesis tests inherent in these techniques for the false positive rate of the results are not widely understood. This article fills both gaps by
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Thiem, Alrik. "Improving the use of qualitative comparative analysis for inferring complex causation in development and planning research." Journal of Water, Sanitation and Hygiene for Development 8, no. 4 (2018): 622–31. http://dx.doi.org/10.2166/washdev.2018.149.

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Abstract Empirical research methods provide the necessary means to extract relevant information from data. Qualitative Comparative Analysis (QCA), one such method, is currently making first inroads into the development and planning (D&P) community. On the one hand, QCA is well suited for building empirically founded theories emphasizing causal complexity. On the other hand, however, current use of QCA in D&P research is marked by problematic applications of this method whose results misrepresent the empirical evidence marshaled to support them. Policy recommendations that stand on shak
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Parente, Tobias Coutinho, and Ryan Federo. "Qualitative comparative analysis: justifying a neo-configurational approach in management research." RAUSP Management Journal 54, no. 4 (2019): 399–412. http://dx.doi.org/10.1108/rausp-05-2019-0089.

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Purpose The purpose of this paper is to critically reflect and offer insights on how to justify the use of qualitative comparative analysis (QCA) as a research method for understanding the complexity of organizational phenomena, by applying the principles of the neo-configurational approach. Design/methodology/approach We present and critically examine three arguments regarding the use of QCA for management research. First, they discuss the need to assume configurational theories to build and empirically test a causal model of interest. Second, we explain how the three principles of causal com
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Rihoux, Benoît. "Qualitative Comparative Analysis (QCA) and Related Systematic Comparative Methods." International Sociology 21, no. 5 (2006): 679–706. http://dx.doi.org/10.1177/0268580906067836.

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