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Event Data Analysis×Qualitative Comparative Analysis×
BidangPolitical SciencePolitical Science
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1987
PencetusConflict-studies and computational-social-science traditions (McClelland, Schrodt, King)Charles C. Ragin
TipeAutomated coding and analysis of who-did-what-to-whom event recordsSet-theoretic, configurational comparative method
Sumber perintisSchrodt, P. A. (2012). Precedents, Progress, and Prospects in Political Event Data. International Interactions, 38(4), 546–569. DOI ↗Ragin, C. C. (1987). The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. Berkeley: University of California Press. ISBN: 9780520058347
AliasEvent data coding, Political event data, Conflict event data, CAMEO event codingQCA, csQCA, fsQCA, Configurational comparative method
Terkait33
RingkasanEvent 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.
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ScholarGateBandingkan metode: Event Data Analysis · Qualitative Comparative Analysis. Diakses 2026-06-24 dari https://scholargate.app/id/compare