ScholarGate
Assistent
Latent structureSpatial voting / legislative behavior

Roll-Call Analysis

Roll-call analysis is the study of recorded legislative votes to recover the structure of political conflict — the ideological positions of legislators, the dimensionality of the issue space, and the cohesion of parties. It encompasses parametric spatial and item-response models that estimate latent ideal points, nonparametric scaling such as optimal classification that maximizes correctly classified votes without distributional assumptions, and descriptive cohesion statistics like the Rice index. Together these tools turn a matrix of yea/nay votes into a map of who agrees with whom and why.

Åpne i MethodMindSnartBruk, sammenlign, få veiledning
Verktøy og ressurser
Last ned lysbilder
Lær og utforsk
VideoSnart

Les hele metoden

Kun for medlemmer

Logg inn med en gratis konto for å lese denne delen.

Logg inn

Metodekart

Nabolaget av beslektede metoder — velg en node for å utforske.

Kilder

  1. Poole, K. T. (2000). Nonparametric Unfolding of Binary Choice Data. Political Analysis, 8(3), 211–237. link
  2. Clinton, J., Jackman, S., & Rivers, D. (2004). The Statistical Analysis of Roll Call Data. American Political Science Review, 98(2), 355–370. DOI: 10.1017/S0003055404001194
  3. Poole, K. T., & Rosenthal, H. (1997). Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press. ISBN: 9780195055771

Slik siterer du denne siden

ScholarGate. (2026, June 22). Roll-Call Analysis (Scaling of Legislative Voting). ScholarGate. https://scholargate.app/no/political-science/roll-call-analysis

Hvilken metode?

Sett denne metoden ved siden av sin nærmeste slektning og les dem side om side — biblioteket legger bøkene på bordet; valget er ditt.

Sammenlign side om side

Referert av

ScholarGateRoll-Call Analysis (Roll-Call Analysis (Scaling of Legislative Voting)). Hentet 2026-06-24 fra https://scholargate.app/no/political-science/roll-call-analysis · Datasett: https://doi.org/10.5281/zenodo.20539026