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Wordfish Scaling×Manifesto Coding×
BidangPolitical SciencePolitical Science
KeluargaLatent structureProcess / pipeline
Tahun asal20082001
PencetusJonathan Slapin and Sven-Oliver ProkschManifesto Research Group / Comparative Manifesto Project (CMP/MARPOR)
TipeUnsupervised latent-position model for word-count dataQuantitative content analysis of party manifestos
Sumber perintisSlapin, J. B., & Proksch, S.-O. (2008). A Scaling Model for Estimating Time-Series Party Positions from Texts. American Journal of Political Science, 52(3), 705–722. DOI ↗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
AliasWordfish text scaling, Poisson scaling of texts, Unsupervised text scaling, Wordfish position estimationCMP coding, MARPOR coding, Manifesto content analysis, Party manifesto coding
Terkait44
RingkasanWordfish scaling is an unsupervised text-as-data method that estimates a single latent position for each political document — a party manifesto, a legislative speech, a press release — directly from its word frequencies, without any reference texts or hand coding. Introduced by Slapin and Proksch in 2008, it models word counts as draws from a Poisson distribution whose rate depends on a document position and word-specific parameters, recovering, for example, a left–right ordering of parties purely from how often each word appears in each text.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.
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ScholarGateBandingkan metode: Wordfish Scaling · Manifesto Coding. Diakses 2026-06-24 dari https://scholargate.app/id/compare