ScholarGate
Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Wordfish Scaling×Manifesto Coding×
NyanjaPolitical SciencePolitical Science
FamiliaLatent structureProcess / pipeline
Mwaka wa asili20082001
MwanzilishiJonathan Slapin and Sven-Oliver ProkschManifesto Research Group / Comparative Manifesto Project (CMP/MARPOR)
AinaUnsupervised latent-position model for word-count dataQuantitative content analysis of party manifestos
Chanzo asiliaSlapin, 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
Majina mbadalaWordfish text scaling, Poisson scaling of texts, Unsupervised text scaling, Wordfish position estimationCMP coding, MARPOR coding, Manifesto content analysis, Party manifesto coding
Zinazohusiana44
MuhtasariWordfish 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.
ScholarGateSeti ya data
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Wordfish Scaling · Manifesto Coding. Imepatikana 2026-06-24 kutoka https://scholargate.app/sw/compare