Overview of the method
More information about the basics of the method and its theoretical foundations is provided here.
Causal Data Analysis
Coincidence Analysis
A configurational comparative method for causal learning
Coincidence Analysis (CNA) is a configurational comparative method of causal inference and data analysis grouping causes into bundles that are jointly effective and placing them on alternative causal routes to their effects. The method is custom-built for uncovering multi-outcome structures, even when they produce no or only weak pairwise dependencies between endogenous and exogenous factors.
This page collects relevant information on CNA.
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Recent news
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Psychology · Journal of Environmental Psychology
CNA applied in Environmental Psychology
Henrik Johansson Rehn, Alexandre Sukhov, Lars E. Olsson, and Margareta Friman use CNA to explore the "window of opportunity" for car use reduction and to identify the causal pathways that lead people to reduce their car use.
Firearm policy · Journal of Public Health Policy
How local prevention efforts and state regulations reduce fatal shootings
Daniel C. Semenza, Edward J. Miech, Brielle Savage, and Devon Ziminski use CNA to link combinations of city-level prevention efforts and state firearm policies to fatal shooting rates across 100 US cities.
Method · Implementation Science Communications
Guidance for factor selection in configurational comparative analysis
Laura Caci, Kathrin Blum, Lauren Clack, and Bianca Albers offer a four-stage approach to factor selection for Coincidence Analysis and other configurational comparative methods.
Process safety · Processes
High-fatality escalation pathways in hazardous chemical accidents
Jingwen Zhang, Yanan Li, Yuhao Wang, and Bing Feng propose a Topic–Hierarchy Coincidence Analysis (T-H CNA) framework to identify condition combinations linked to high-fatality outcomes in chemical accidents, finding that high-fatality outcomes track coupled upstream organizational and supervisory failures more than terminal errors alone.
Public health · Health Affairs Scholar
CNA applied to low life expectancy in Chicago
John Rich, Edward Miech, and colleagues apply CNA to identify the social factors that link to low life expectancy across Chicago's 77 community areas.
Method
Readings
Literature
An overview over the literature on CNA, both methodological and applied, is provided here.