方法对比

	Democratic Peace Analysis	Dyadic Conflict Analysis
领域	International Relations	International Relations
方法族	Process / pipeline	Process / pipeline
起源年份	1993	1992
提出者	Zeev Maoz & Bruce Russett (and the broader democratic-peace literature)	Stuart A. Bremer (and the Correlates of War dyadic tradition)
类型	Observational dyadic test of the regime-type/conflict relationship	Observational research design for interstate conflict
开创性文献	Maoz, Z., & Russett, B. (1993). Normative and structural causes of democratic peace, 1946–1986. American Political Science Review, 87(3), 624–638.	Bremer, S. A. (1992). Dangerous dyads: Conditions affecting the likelihood of interstate war, 1816–1965. Journal of Conflict Resolution, 36(2), 309–341.
别名	Democratic Peace Theory Testing, Dyadic Democratic Peace Analysis, Joint Democracy and Conflict Analysis, Liberal Peace Analysis	Dyad-Year Analysis, Dyadic Design in Conflict Studies, Dangerous Dyads Analysis, Pairwise Interstate Conflict Analysis
相关	3	3
摘要	Democratic peace analysis is the empirical study of the proposition that democracies rarely or never fight one another. Building on the dyadic research design crystallized by Maoz and Russett (1993), it codes the regime type of each state, constructs dyad-years, and models the probability of militarized conflict as a function of joint democracy alongside controls for power, contiguity, alliances, and trade. The approach has produced one of the most robust empirical regularities in international relations and a long debate over whether shared norms or institutional structures account for it.	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.