ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Event Data Analysis×Manifesto Coding×
TieteenalaPolitical SciencePolitical Science
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi2001
KehittäjäConflict-studies and computational-social-science traditions (McClelland, Schrodt, King)Manifesto Research Group / Comparative Manifesto Project (CMP/MARPOR)
TyyppiAutomated coding and analysis of who-did-what-to-whom event recordsQuantitative content analysis of party manifestos
AlkuperäislähdeSchrodt, P. A. (2012). Precedents, Progress, and Prospects in Political Event Data. International Interactions, 38(4), 546–569. 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
RinnakkaisnimetEvent data coding, Political event data, Conflict event data, CAMEO event codingCMP coding, MARPOR coding, Manifesto content analysis, Party manifesto coding
Liittyvät34
TiivistelmäEvent data analysis converts streams of news reports into structured records of political interactions — who did what to whom, when — and aggregates them into time series of cooperation and conflict between actors. Each event is coded as a source actor, an action type drawn from an ontology such as CAMEO, a target actor, and a date. Modern systems extract these events automatically from millions of news stories, enabling near-real-time measurement of interstate and intrastate behavior for forecasting and analysis.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.
ScholarGateAineisto
  1. v1
  2. 3 Lähteet
  3. PUBLISHED
  1. v1
  2. 3 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: Event Data Analysis · Manifesto Coding. Haettu 2026-06-24 osoitteesta https://scholargate.app/fi/compare