Comparer des méthodes

	Correlates of War Analysis	Dyadic Conflict Analysis
Domaine	International Relations	International Relations
Famille	Process / pipeline	Process / pipeline
Année d'origine	1972	1992
Auteur d'origine	J. David Singer & Melvin Small (Correlates of War project)	Stuart A. Bremer (and the Correlates of War dyadic tradition)
Type	Systematic coding and quantitative analysis of war and national capabilities	Observational research design for interstate conflict
Source fondatrice	Singer, J. D., Bremer, S., & Stuckey, J. (1972). Capability distribution, uncertainty, and major power war, 1820–1965. In B. Russett (Ed.), Peace, War, and Numbers (pp. 19–48). Beverly Hills: Sage.	Bremer, S. A. (1992). Dangerous dyads: Conditions affecting the likelihood of interstate war, 1816–1965. Journal of Conflict Resolution, 36(2), 309–341.
Alias	COW Analysis, Correlates of War Project Data, National Material Capabilities Analysis, Composite Index of National Capability Analysis	Dyad-Year Analysis, Dyadic Design in Conflict Studies, Dangerous Dyads Analysis, Pairwise Interstate Conflict Analysis
Apparentées	3	3
Résumé	Correlates of War (COW) analysis is the systematic, data-driven study of interstate and intrastate war pioneered by J. David Singer and Melvin Small. The COW project assembled standardized, transparently coded datasets on the membership of the state system, the wars it has fought, and the material capabilities, alliances, and disputes of its members since 1816. Singer, Bremer, and Stuckey's (1972) study of capability distribution and major-power war exemplifies the approach: combine these building blocks into state-year and dyad-year datasets and analyze, statistically, what conditions correlate with the onset of war.	Dyadic conflict analysis is the dominant research design in quantitative conflict studies: it treats the pair of states (the dyad), observed year by year, as the unit of analysis and models the probability that a pair experiences militarized conflict as a function of their joint and individual attributes. Stuart Bremer's 'Dangerous Dyads' (1992) is the canonical statement, identifying which conditions — contiguity, the absence of alliance, power parity, the absence of joint democracy, and others — make a pair of states war-prone. The design aligns conflict data with the relational theories that dominate the field.