Coincidence Analysis (CNA)

Coincidence Analysis (CNA) is a configurational comparative method (CCM) of causal inference and data analysis that is custom-built for multi-outcome structures.

This page begins to collect relevant literature on CNA and will inform about new developments, seminars, workshops etc.

New R-package version

On 13/06/2018, update 2.1.1 of the cna R-package has been released on CRAN.
On 01/06/2018, version 2.1.0 of the cna R-package has been released on CRAN.

Literature

Methodological

The details of the most recent version of CNA are described here:

M. Baumgartner and M. Ambühl (2018), Causal Modeling with Multi-Value and Fuzzy-Set Coincidence Analysis, Political Science Research and Methods. Replication material at https://doi.org/10.7910/DVN/YIEAF1; [penultimate draft]
M. Baumgartner and M. Ambühl (2018), cna: An R Package for Configurational Causal Inference and Modeling. R package vignette: The Comprehensive R Archive Network. https://cran.r-project.org/web/packages/cna/vignettes/cna_vignette.pdf.

Older CNA versions are introduced/discussed here:

M. Baumgartner and A. Thiem (2015), Identifying Complex Causal Dependencies in Configurational Data with Coincidence Analysis, The R Journal 7, 176-184. [penultimate draft]
M. Baumgartner (2013), Detecting Causal Chains in Small-N Data, Field Methods 25, 3-24. [penultimate draft]
M. Baumgartner (2009), Uncovering Deterministic Causal Structures: A Boolean Approach, Synthese 170, 71-96. [Springer Nature SharedIt] [penultimate draft]
M. Baumgartner (2009), Inferring Causal Complexity, Sociological Methods & Research 38, 71-101. [penultimate draft]

Applied

R. Epple and S. Schief (2016), Fighting (for) gender equality: the roles of social movements and power resources, Interface: a journal for and about social movements, Vol. 8, No.2., 394- 432.
M. Baumgartner and R. Epple (2014), A Coincidence Analysis of a Causal Chain: The Swiss Minaret Vote, Sociological Methods & Research 43, 280-312. [penultimate draft]