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	Event Data Analysis	Qualitative Comparative Analysis
Ämnesområde	Political Science	Political Science
Familj	Process / pipeline	Process / pipeline
Ursprungsår	—	1987
Upphovsperson	Conflict-studies and computational-social-science traditions (McClelland, Schrodt, King)	Charles C. Ragin
Typ	Automated coding and analysis of who-did-what-to-whom event records	Set-theoretic, configurational comparative method
Ursprungskälla	Schrodt, P. A. (2012). Precedents, Progress, and Prospects in Political Event Data. International Interactions, 38(4), 546–569.	Ragin, C. C. (1987). The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. Berkeley: University of California Press. ISBN: 9780520058347
Alias	Event data coding, Political event data, Conflict event data, CAMEO event coding	QCA, csQCA, fsQCA, Configurational comparative method
Närliggande	3	3
Sammanfattning	Event data analysis converts streams of news reports into structured records of political interactions — who did what to whom, when — and aggregates them into time series of cooperation and conflict between actors. Each event is coded as a source actor, an action type drawn from an ontology such as CAMEO, a target actor, and a date. Modern systems extract these events automatically from millions of news stories, enabling near-real-time measurement of interstate and intrastate behavior for forecasting and analysis.	Qualitative Comparative Analysis (QCA) is a set-theoretic, configurational method that identifies which combinations of conditions are necessary or sufficient for an outcome across a set of cases. Developed by Charles Ragin, it treats each case as a configuration of set memberships, builds a truth table of all logically possible combinations, and uses Boolean algebra to minimize them into the simplest expressions that account for the outcome. It bridges qualitative case knowledge and cross-case generalization, embracing causal complexity through conjunctural causation, equifinality, and asymmetry.