BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//COMPASSS - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://compasss.org
X-WR-CALDESC:Events for COMPASSS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Zurich
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210823
DTEND;VALUE=DATE:20210828
DTSTAMP:20260404T142325
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
END:VEVENT
END:VCALENDAR