Compară metode

	Foreign Policy Similarity Score	Dyadic Conflict Analysis
Domeniu	International Relations	International Relations
Familie	Process / pipeline	Process / pipeline
Anul apariției	2011	1992
Autorul original	Foreign-policy-similarity literature (Signorino & Ritter; Voeten ideal points; Frank Häge chance correction)	Stuart A. Bremer (and the Correlates of War dyadic tradition)
Tip	Dyadic measurement of revealed foreign-policy agreement	Observational research design for interstate conflict
Sursa seminală	Häge, F. M. (2011). Choice or circumstance? Adjusting measures of foreign policy similarity for chance agreement. Political Analysis, 19(3), 287–305.	Bremer, S. A. (1992). Dangerous dyads: Conditions affecting the likelihood of interstate war, 1816–1965. Journal of Conflict Resolution, 36(2), 309–341.
Denumiri alternative	Foreign Policy Similarity Measurement, UN Voting Affinity Score, Ideal Point Distance, State Preference Similarity	Dyad-Year Analysis, Dyadic Design in Conflict Studies, Dangerous Dyads Analysis, Pairwise Interstate Conflict Analysis
Înrudite	3	3
Rezumat	A foreign-policy similarity score measures how alike two states' revealed foreign-policy positions are — most commonly from their votes in the UN General Assembly, but also from alliance portfolios or treaty positions. It is a workhorse measure of shared interests, affinity, and alignment in dyadic IR. Häge (2011) shows that naive agreement and the popular S-score can be inflated by chance agreement that arises because states differ in how often they take each position, and proposes chance-corrected indices (Scott's π, Cohen's κ) that better isolate genuine alignment.	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.