Introduction to Causal Data Analysis and Modeling with Coincidence Analysis
30 May – 2 June, 2021, Grand Hotel Terminus, Bergen Norway
Michael Baumgartner, University of Bergen, Norway
additional presentations by:
Deborah Cragun, University of South Florida, USA
Edward Miech, Regenstrief Institute, USA
Veli-Pekka Parkkinen, University of Bergen, Norway
Martyna Swiatczak, University of Bergen, Norway
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. In 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.
From 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.
After the workshop, the instructors will remain available for consultation to help participants with the methodological and practical aspects of their research projects.
Registration is now open here. There will be a course fee of NOK 5400, which is approximately €540 or $610. In light of current Covid uncertainties, registration does not require payment at this time. Once we see that the course can be held as planned, we will send out payment links to all registered. We have space for a maximum of 50 participants. There will be a waiting list, once the 50 slots are reserved. For questions, please, write to email@example.com.