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DTSTART;VALUE=DATE:20260608
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SUMMARY:Introduction to Causal Data Analysis & Modeling with Coincidence Analysis
DESCRIPTION:This workshop offers an intensive four-day introduction to causal modeling with Coincidence Analysis (CNA)\, a novel configurational comparative method of data analysis geared towards causal complexity\, which has seen a considerable uptick in applications in recent years (click here for references). 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 (Drs. Cragun\, Freitas\, Huang\, and Miech) will guide participants through the nuts and bolts of configurational data analysis and cutting-edge methodological innovations\, as well as offer advice on practical issues such as getting funded and published with CNA. In smaller practice groups\, understanding of the material will also be deepened through applied exercises and the instructors will demonstrate how to make the most of current software for CNA. \nFrom Boolean algebra and the philosophical roots of regularity theories of causation\, over the basic ideas behind CNA’s search algorithm\, and measures of fit to multi-outcome structures\, model ambiguities\, and robustness analyses\, this introduction will enable participants to conduct CNA analyses themselves and review those of other researchers in a sophisticated manner. This will also be an opportunity to get to know researchers working with and on CNA from all over the world. \nThe workshop agenda is available here. You can register for the conference here. \nCosts: \n\nEarly bird fee for registration prior to January 31\, 2026 is $850.\nStandard registration (February 1\, 2026 – April 15\, 2026) is $950.\nLate registration (April 16th 2026 – May 15th\, 2026) is $1050.
URL:https://compasss.org/event/introduction-to-causal-data-analysis-modeling-with-coincidence-analysis-2/
LOCATION:University of California\, Berkeley School of Social Welfare and the Peder Sather Center\, Berkeley\, United States
CATEGORIES:Training
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DTEND;VALUE=DATE:20260613
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SUMMARY:Crisp and Fuzzy Set Qualitative Comparative Analysis (QCA) Course at GSERM\, St. Gallen\, Switzerland | June 8-12\, 2026
DESCRIPTION:Five-day QCA course as part of the Global School in Empirical Research Methods (GSERM)\, hosted by the University of St. Gallen\, Switzerland \nCourse Overview \nThis intensive workshop provides a thorough introduction to both crisp- and fuzzy-set Qualitative Comparative Analysis (QCA). Participants receive hands-on instruction with the fsQCA software package and develop the skills necessary to design and execute research projects using set-analytic approaches. \nWho should attend: \nThis course is intended for doctoral students\, postdoctoral researchers\, and faculty across the social sciences who are interested in studying configurational phenomena and causal complexity using set-analytic methods. \nAbout QCA \nQualitative Comparative Analysis combines analytical techniques with a conceptual framework ideal for studying configurational phenomena. It excels at analyzing causally complex situations characterized by multiple\, conjunctural causation—where various factors interact in complex ways to produce outcomes. \nDeveloped in the 1980s by sociologist and political scientist Charles Ragin\, QCA bridges the gap between primarily qualitative\, case-oriented approaches and primarily quantitative\, variable-oriented approaches. \nQCA employs Boolean algebra to analyze set relations\, allowing researchers to formally identify patterns of necessity and sufficiency for outcomes of interest. Since its inception\, QCA has evolved into a diverse set of techniques sharing a set-analytic foundation\, encompassing both descriptive and inferential methodologies. \nApplications \nAs a formal approach for data analysis\, QCA can be applied to essentially any setting\, but it is particularly valuable for analyzing datasets with relatively few observations (traditionally 10-50 cases). Recent developments have expanded QCA applications to medium- and large-N situations involving hundreds or even thousands of cases. While these applications require methodological adaptations\, they maintain QCA’s advantages for analyzing configurational phenomena and causal complexity. \nContact Information \nFor questions or additional information\, please contact me at fiss@marshall.usc.edu. \nThe complete course manual can be found here: Complete course details and application information here
URL:https://compasss.org/event/crisp-and-fuzzy-set-qualitative-comparative-analysis-qca-course-at-gserm-st-gallen-switzerland-june-8-12-2026/
LOCATION:GSERM\, University of St. Gallen\, Tellstrasse 2 9000 St. Gallen\, St. Gallen\, Switzerland
CATEGORIES:Training
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