手法を比較

	Dyadic Conflict Analysis	Correlates of War Analysis
分野	International Relations	International Relations
系統	Process / pipeline	Process / pipeline
提唱年	1992	1972
提唱者	Stuart A. Bremer (and the Correlates of War dyadic tradition)	J. David Singer & Melvin Small (Correlates of War project)
種類	Observational research design for interstate conflict	Systematic coding and quantitative analysis of war and national capabilities
原典	Bremer, S. A. (1992). Dangerous dyads: Conditions affecting the likelihood of interstate war, 1816–1965. Journal of Conflict Resolution, 36(2), 309–341.	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.
別名	Dyad-Year Analysis, Dyadic Design in Conflict Studies, Dangerous Dyads Analysis, Pairwise Interstate Conflict Analysis	COW Analysis, Correlates of War Project Data, National Material Capabilities Analysis, Composite Index of National Capability Analysis
関連	3	3
概要	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.	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.