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Koinsidensanalyse

Hovedinnhold

Coincidence Analysis (CNA) er en konfigurasjons-komparativ metode for kausalanalyser av empiriske data som modellerer de boolske dimensjonene av kausalstrukturer. Prosjektet videreutvikler CNA. Det er medfinansiert av Universitetet i Bergen og Bergens forskningsstiftelse som en del av Toppforsk-programmet. For mer informasjon, se lenke nedenfor til prosjektets engelske sider.

For more details see the English website.

News
JCI

New measures for evaluating CNA models

Luna De Souter identifies shortcomings of the two main measures for evaluating CNA models, consistency and coverage, and introduces two new evaluation measures.

Workshop
Rush
mai 20

Introduction to Causal Data Analysis & Modeling with Coincidence Analysis

Learning causal data analysis with Coincidence Analysis from the ground up, with practical application to health equity and health services.

Conference
Chicago Skyline
mai 24

3rd International Conference on Current Issues in Coincidence Analysis

The third international conference dedicated exclusively to the configurational comparative method of Coincidence Analysis (CNA) will take place from May 24 to 25, 2024, at RUSH University in Chicago.

News
logo

Template application of the frscore routine

Tim Haesebrouck applied the frscore routine in an exemplary manner to examine the conditions under which populist radical right parties support military deployment decisions in national parliaments: Haesebrouck T. (2023), The populist radical right and military intervention: A coincidence analysis...

News
MBR Logo

New publication of the CNA group

Michael Baumgartner and Christoph Falk published a paper entitled "Configurational Causal Modeling and Logic Regression" in Multivariate Behavioral Research (2021): https://doi.org/10.1080/00273171.2021.1971510