השוואת שיטות

	Comparative Historical Analysis	Most Similar Systems Design
תחום	Political Science	Political Science
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1979	1970
הוגה השיטה	Theda Skocpol, Barrington Moore, James Mahoney & Dietrich Rueschemeyer (tradition)	John Stuart Mill (method of difference); Przeworski & Teune (systems framing)
סוג	Macro-causal, case-based comparative method with temporal emphasis	Small-N comparative case-selection design
מקור מכונן	Mahoney, J., & Rueschemeyer, D. (Eds.) (2003). Comparative Historical Analysis in the Social Sciences. Cambridge: Cambridge University Press. ISBN: 9780521016452	Przeworski, A., & Teune, H. (1970). The Logic of Comparative Social Inquiry. New York: Wiley-Interscience. ISBN: 9780471701422
כינויים	CHA, Macro-causal analysis, Historical-comparative method, Comparative historical sociology	MSSD, Most similar cases design, Mill's method of difference, Comparable cases strategy
קשורות	4	3
תקציר	Comparative historical analysis (CHA) is a macro-causal research tradition that explains large-scale outcomes — revolutions, regime change, welfare states, development paths — by systematically comparing a small number of cases reconstructed in depth across historical time. It combines cross-case comparison with close attention to temporality: sequences, timing, critical junctures, and path dependence. Associated with Barrington Moore, Theda Skocpol, and codified by Mahoney and Rueschemeyer, CHA treats history not as background but as the medium through which causes operate.	The most similar systems design (MSSD) is a small-N comparative strategy that selects cases as alike as possible on many background characteristics but differing on the outcome of interest. By matching cases so that most potential confounders are held roughly constant, the design isolates the few factors that vary alongside the outcome as the candidate causes. Rooted in John Stuart Mill's method of difference and named by Przeworski and Teune, it is a cornerstone of comparative politics for drawing causal inferences from a handful of countries or cases.