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DTSTART;VALUE=DATE:20230503
DTEND;VALUE=DATE:20230506
DTSTAMP:20260430T215213
CREATED:20230411T190126Z
LAST-MODIFIED:20230411T190126Z
UID:1287-1683072000-1683331199@compasss.org
SUMMARY:Advanced Applications of QCA (Qualitative Comparative Analysis) in R
DESCRIPTION:This seminar on advanced set-theoretic methods for the social sciences focuses on applied Qualitative Comparative Analysis (QCA).\nThis method is used in fields as diverse as political science\, public policy\, international relations\, sociology\, business and management\, organizational studies\, and even musicology. This seminar will enable participants to produce cutting edge QCA-based research through hands-on coverage of the most recent advances in QCA.\nAll applied components of the seminar are performed in the R software environment\, using RStudio (Cloud) and R packages QCA and SetMethods. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students\, the seminar offers 2 ECTS Equivalent points.
URL:https://compasss.org/event/advanced-applications-of-qca-qualitative-comparative-analysis-in-r/
LOCATION:Online
CATEGORIES:Seminar,Training
ORGANIZER;CN="Carsten Schneider (Central European University)":MAILTO:schneiderc@ceu.edu
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230510
DTEND;VALUE=DATE:20230511
DTSTAMP:20260430T215213
CREATED:20230320T182914Z
LAST-MODIFIED:20230320T182914Z
UID:1250-1683676800-1683763199@compasss.org
SUMMARY:Introduction to Necessary Condition Analysis (NCA)
DESCRIPTION:For your research\, if you’ve ever wanted to understand and model causal effects in a rigorous way that reflects the complexity of the real-world. NCA understands a cause as a necessary (but not sufficient) condition\, rather than a probabilistic cause (as in regression analysis). “Necessary” means that a certain outcome will not occur without a certain level of the condition. This is independent of the rest of the causal structure. NCA is rapidly entering a variety of research fields and can be used as a stand-alone method or in combination with other methods (e.g.\, regression analysis\, structural equation modeling\, qualitative comparative analysis). \nThis free 1-day seminar is being taught by Jan Dul\, who invented NCA and co-authored the R package for NCA. Registration is entirely free! This seminar is perfect if\, like many of us\, you’ve wanted a way to go beyond simplistic ANOVA or regression-based approaches to causal effect estimation. The seminar will introduce you to NCA and then show you how to conduct analyses and make causal inferences through a series of worked examples. To register for free\, use the following link — and please feel free to tell your colleagues and friends / students!
URL:https://compasss.org/event/introduction-to-necessary-condition-analysis-nca-2/
LOCATION:Online
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230515
DTEND;VALUE=DATE:20230519
DTSTAMP:20260430T215213
CREATED:20230109T191327Z
LAST-MODIFIED:20230109T191327Z
UID:1160-1684108800-1684454399@compasss.org
SUMMARY:Introduction to Causal Data Analysis and Modeling with Coincidence Analysis
DESCRIPTION:This workshop offers an intensive 4-day introduction to causal modeling with Coincidence Analysis (CNA)\, a relatively new configurational comparative method of data analysis geared towards causal complexity\, which has seen a considerable uptick in applications in recent years. No prior knowledge of CNA is required. \nIn plenary lectures\, the main developer of CNA\, Michael Baumgartner\, and a team of experienced CNA methodologists and practitioners will guide participants through the nuts and bolts of configurational data analysis as well as cutting-edge methodological innovations. In smaller practice groups\, the instructors will demonstrate how to make the most of current software for CNA and offer advice on practical issues\, such as getting funded and published with CNA.
URL:https://compasss.org/event/introduction-to-causal-data-analysis-and-modeling-with-coincidence-analysis-2/
LOCATION:Prague University of Economics and Business\, Czech Republic\, Czech Republic
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20230525T154500
DTEND;TZID=America/Chicago:20230525T180000
DTSTAMP:20260430T215213
CREATED:20230511T181527Z
LAST-MODIFIED:20230511T204916Z
UID:1309-1685029500-1685037600@compasss.org
SUMMARY:Set Theory\, Constructivism\, and Science: A Symposium on James Mahoney’s The Logic of Social Science
DESCRIPTION:In this hybrid symposium\, a panel of scholars discuss James Mahoney’s recent book\, The Logic of Social Science.  The book develops a scientific constructivist approach that uses set-theoretic analysis to avoid essentialist biases in the production of knowledge. This scientific constructivist approach recognizes that social categories depend on collective understandings for their existence\, but it insists that this recognition need not hinder the use of explicit procedures for the rational assessment of truth. Mahoney argues that set-theoretic analysis enables scholars to avoid the pitfalls of essentialism and produce findings that rest on a firm scientific foundation.
URL:https://compasss.org/event/set-theory-constructivism-and-science-a-symposium-on-james-mahoneys-the-logic-of-social-science/
LOCATION:Central European University – Vienna\, Quellenstraße 51\, Vienna\, Wien\, 1100\, Austria
ORGANIZER;CN="Carsten Schneider (Central European University)":MAILTO:schneiderc@ceu.edu
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