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Latent structureText Scaling

Wordfish

Wordfish ni kielelezo cha takwimu kwa ajili ya kupima hati kwenye vipimo vilivyofichwa, kilichoendelezwa na Slapin na Proksch (2008). Tofauti na mbinu zinazotegemea marejeleo kama vile Wordscores, Wordfish hutumia kielelezo cha uzalishaji wa Poisson kukadiria kwa pamoja mzunguko wa maneno na nafasi za hati bila kuhitaji maandishi ya marejeleo au kuandika kwa mikono. Ni muhimu sana kwa kukadiria mabadiliko ya mfululizo wa muda katika nafasi za sera na inaweza kupima hati kutoka lugha nyingi kwa wakati mmoja.

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Vyanzo

  1. Slapin, J. B., & Proksch, S. O. (2008). A scaling model for estimating time-series party positions from texts. Journal of Politics, 70(3), 554-569. DOI: 10.1111/j.1540-5907.2008.00338.x
  2. Proksch, S. O., & Slapin, J. B. (2009). How to avoid pitfalls in statistical machine learning for social science. Political Analysis, 20(3), 343-357. link
  3. Benoit, K., Muhr, D., & Spirling, A. (2016). Crowd-sourced text analysis: Reproducible and distributed production of political data. American Political Science Review, 110(2), 278-295. DOI: 10.1017/S0003055416000058

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Wordfish. ScholarGate. https://scholargate.app/sw/psychometrics/wordfish

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Imerejelewa na

ScholarGateWordfish (Wordfish). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/psychometrics/wordfish · Seti ya data: https://doi.org/10.5281/zenodo.20539026