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DTSTART;VALUE=DATE:20210803
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DTSTAMP:20260524T181222
CREATED:20210608T200931Z
LAST-MODIFIED:20210630T182326Z
UID:851-1627948800-1628207999@compasss.org
SUMMARY:Coincidence Analysis (CNA) in Health Services Research
DESCRIPTION:Hosted by Regenstrief Institute\, this intensive course offers health researchers a tailored approach to applying Coincidence Analysis (CNA). \nPart I of the Beginners-level Course on CNA begins with an intensive 3-day exploration of configurational comparative methods with a focus on Coincidence Analysis (CNA). Michael Baumgartner will guide participants through the the philosophical roots of regularity theories of causation\,  search strategies\, optimization algorithms\, and measures of fit.  Following this 3-day workshop\, the instructors will remain available for discussion to help participants with the methodological aspects of their research projects. \nPart II of the Beginners-level Course on CNA follows the 3-day workshop and will be led by Deborah Cragun and Edward Miech. Part II is a three-session online practicum that will start in August 2021 and is designed to help participants develop the skill and confidence needed to apply these concepts learned in Part I to their own research. Part II will take place in small groups of approximately 10 to 15 participants: the same small group will meet for one hour per week for a total of three sessions. The practicum sessions will be offered at a variety of dates/times during the last three weeks of August 2021 to accommodate different time zones. \nNote: Sold out.
URL:https://compasss.org/event/coincidence-analysis-cna-in-health-services-research/
LOCATION:Online
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210823
DTEND;VALUE=DATE:20210828
DTSTAMP:20260524T181222
CREATED:20210107T182543Z
LAST-MODIFIED:20210107T182543Z
UID:829-1629676800-1630108799@compasss.org
SUMMARY:Qualitative Comparative Analysis: Research Design and Application (25th Summer School in Social Science Methods)
DESCRIPTION:Workshop contents and objectives\nThis workshop gives a thorough introduction to the method of Qualitative Comparative Analysis (QCA)\, with an emphasis on research design and practical application. 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. \nThroughout this workshop\, participants will be introduced to the building blocks of QCA\, while the course structure follows an ideal-typical research process. The introduction opens with empirical illustrations to show how and for what purposes QCA is being used\, before summarizing the method’s key characteristics. This is followed by sessions on causation\, causal complexity\, and research design\, to provide a foundation for thinking about empirical applications. The ensuing sessions engage with the use of 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 session on set-theoretic analysis puts all of the elements together and shows how empirical data is analyzed and interpreted with QCA. Finally\, the workshop closes with sessions on advanced topics\, which can be tailored based on participants’ background and research interests. Potential topics include multi-method research design\, QCA variants\, addressing critiques\, and recent developments. \nThe workshop sessions are complemented by illustrations and exercises\, using the R Software environment and relevant R Packages. Reading material from the QCA textbook (Mello\, forthcoming) will be made available to the course participants. \nRequirements\nCourse participants are not expected to have any previous knowledge of QCA or the R software environment and its relevant packages. Participants will receive preparatory instructions ahead of the summer school\, so that they can install the relevant software and familiarize themselves with the environment of R and RStudio.
URL:https://compasss.org/event/qualitative-comparative-analysis-research-design-and-application-25th-summer-school-in-social-science-methods/
LOCATION:Università della Svizzera Italiana\, Via Buffi 13\, Lugano\, 6900\, Switzerland
CATEGORIES:Training
ORGANIZER;CN="Patrick Mello (VU Amsterdam)":MAILTO:p.a.mello@vu.nl
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DTSTART;TZID=America/Mexico_City:20210830T090000
DTEND;TZID=America/Mexico_City:20210910T150000
DTSTAMP:20260524T181222
CREATED:20210809T195556Z
LAST-MODIFIED:20210809T195556Z
UID:871-1630314000-1631286000@compasss.org
SUMMARY:Qualitative Comparative Analysis (QCA) and Fuzzy Sets
DESCRIPTION:This course introduces participants to set-theoretic methods and their application in the social sciences with a focus on Qualitative Comparative Analysis. The course starts out by familiarizing students with the basic concepts of the underlying methodological perspective\, among them the central notions of necessity and sufficiency\, formal logic and Boolean algebra. From there\, we move to the logic and analysis of truth tables and discuss the most important problems that emerge when this analytical tool is used for exploring social science data. Right from the beginning\, students will be exposed to performing set-theoretic analyses with the relevant R software packages. When discussing set-theoretic methods\, in-class debates will engage on broad\, general comparative social research issues\, such as case selection principles\, concept formation\, questions of data aggregation and the treatment of causally relevant notions of time. Examples are drawn from published applications in the social sciences. Participants are encouraged to bring their own raw data for in-class exercises and assignments\, if available.
URL:https://compasss.org/event/qualitative-comparative-analysis-qca-and-fuzzy-sets/
LOCATION:Online
CATEGORIES:Training
ORGANIZER;CN="Carsten Schneider (Central European University)":MAILTO:schneiderc@ceu.edu
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