Comparer des méthodes

	Manifesto Coding	Qualitative Comparative Analysis
Domaine	Political Science	Political Science
Famille	Process / pipeline	Process / pipeline
Année d'origine	2001	1987
Auteur d'origine	Manifesto Research Group / Comparative Manifesto Project (CMP/MARPOR)	Charles C. Ragin
Type	Quantitative content analysis of party manifestos	Set-theoretic, configurational comparative method
Source fondatrice	Budge, I., Klingemann, H.-D., Volkens, A., Bara, J., & Tanenbaum, E. (2001). Mapping Policy Preferences: Estimates for Parties, Electors, and Governments 1945–1998. Oxford: Oxford University Press. ISBN: 9780199244003	Ragin, C. C. (1987). The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. Berkeley: University of California Press. ISBN: 9780520058347
Alias	CMP coding, MARPOR coding, Manifesto content analysis, Party manifesto coding	QCA, csQCA, fsQCA, Configurational comparative method
Apparentées	4	3
Résumé	Manifesto coding is the quantitative content-analysis methodology of the Comparative Manifesto Project (CMP/MARPOR) for measuring parties' policy preferences from their election manifestos. Trained coders break each manifesto into quasi-sentences and assign every unit to one of a fixed set of policy categories. Counting how often each category appears yields salience measures, and combining pro- and anti- categories produces position scores such as the left–right RILE index, giving comparable estimates of party positions across more than fifty democracies since 1945.	Qualitative Comparative Analysis (QCA) is a set-theoretic, configurational method that identifies which combinations of conditions are necessary or sufficient for an outcome across a set of cases. Developed by Charles Ragin, it treats each case as a configuration of set memberships, builds a truth table of all logically possible combinations, and uses Boolean algebra to minimize them into the simplest expressions that account for the outcome. It bridges qualitative case knowledge and cross-case generalization, embracing causal complexity through conjunctural causation, equifinality, and asymmetry.