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DTSTART;VALUE=DATE:20230804
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SUMMARY:Qualitative Comparative Analysis (QCA): A Set-Analytic Approach To Studying Configurations
DESCRIPTION:The PDW includes 3 Parts. If you have no or only a little knowledge of\, and experience with\, QCA you can join us during Part 1 to learn the basic “nuts and bolts” of QCA and configurational logic and understand if this might be the right tool for your research project. \nIf you’re joining us for Part 1 and Part 2\, you do not need to register (PDW open to all conference attendees). If you’d like to participate in Part 3\, please submit an extended abstract of 1\,500-2\,000 words to Johannes Meuer by 14 July 2023. In your abstract\, please summarize your study’s topical area\, theoretical background\, research gap\, and question\, and include details about the data\, analytical strategy (for empirical papers)\, and preliminary results. Please also indicate your target journal and add a few questions that you would like the reviewers to address. A panel of QCA experts will review all submissions and evaluate their fit with the PDW according to the clarity of purpose\, methodological rigor\, and innovative character of the research. We will inform you shortly\, by 30 July 2023\, about your opportunities to participate in Part 3.
URL:https://compasss.org/event/qualitative-comparative-analysis-qca-a-set-analytic-approach-to-studying-configurations/
LOCATION:Academy of Management\, Boston\, MA\, United States
CATEGORIES:Training
ORGANIZER;CN="Johannes Meuer (KLU Hamburg)":MAILTO:Johannes.meuer@the-klu.org
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DTSTART;VALUE=DATE:20230821
DTEND;VALUE=DATE:20230826
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SUMMARY:Qualitative Comparative Analysis (QCA)
DESCRIPTION:This workshop provides participants with a thorough introduction to Qualitative Comparative Analysis (QCA). Since its inception (Ragin 1987)\, QCA has gained recognition among social scientists as a case-based research method that is ideally suited to capture causal complexity. This essentially describes a situation where an outcome results from multiple pathways and different combinations of conditions. Moreover\, QCA entails a rigorous and systematic comparison of selected cases and their configurations through Boolean logic and a software-based analytical protocol. Throughout the workshop\, emphasis is placed on research design and practical application so that participants are enabled to work on their own studies. \nThroughout the workshop\, participants are introduced to the foundations and advanced functions of QCA\, while the course structure follows an ideal-typical research process. Starting with empirical illustrations that show how and for what purposes QCA is being used in the social sciences\, the workshop proceeds with presenting the method’s core characteristics. This is followed by sessions on causation\, causal complexity\, and research design to provide a basis for thinking about empirical applications. The ensuing sessions engage with QCA as an analytical approach\, starting with set theory and concepts like necessary and sufficient conditions\, Boolean algebra\, truth tables\, and fuzzy sets. In calibrating sets\, we look into approaches to transform empirical raw data into crisp and fuzzy sets. Next\, the course examines various measures of fit that help in evaluating QCA results. The sessions on set-theoretic analysis put all the elements together and show how empirical data is analysed and interpreted with QCA. During the second half of the workshop\, we explore advanced topics\, which can be tailored based on participants’ backgrounds and research interests. Potential topics include multi-method research design\, QCA variants\, robustness tests in QCA\, addressing critiques\, and recent developments. Participants also have the opportunity to present and discuss their own work within the group. The workshop sessions are complemented by illustrations and exercises from the social sciences\, using the R Software environment and relevant R Packages. \n27th Summer School in Social Science Methods 10-25 August 2023 | USI
URL:https://compasss.org/event/qualitative-comparative-analysis-qca/
LOCATION:Università della Svizzera Italiana\, Via Giuseppe Buffi 13\, Lugano\, Ticino\, 6900\, Switzerland
CATEGORIES:Training
ORGANIZER;CN="Patrick Mello (VU Amsterdam)":MAILTO:p.a.mello@vu.nl
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