Support for Political Violence Measure
This measure assesses citizens' willingness to endorse violence against political opponents, a key indicator of democratic fragility. Nathan Kalmoe and Lilliana Mason's research, synthesized in Radical American Partisanship (2022), maps a continuum of violent partisan hostility from wishing harm on the other side to endorsing lethal attacks, using representative surveys and embedded behavioral experiments. Because such attitudes are rare and the items are extreme, the measure has prompted vigorous methodological debate, exemplified by Westwood and colleagues' demonstration that inattentive responding and item design can substantially inflate apparent support, making bias correction central to credible estimates.
Lexoni metodën e plotë
Hyni me një llogari falas për ta lexuar këtë seksion.
Harta e metodave
Lagjja e metodave të lidhura — zgjidhni një nyje për të eksploruar.
Burimet
- Kalmoe, N. P., & Mason, L. (2022). Radical American Partisanship: Mapping Violent Hostility, Its Causes, and the Consequences for Democracy. University of Chicago Press. ISBN: 9780226820286
- Westwood, S. J., Grimmer, J., Tyler, M., & Nall, C. (2022). Current Research Overstates American Support for Political Violence. Proceedings of the National Academy of Sciences, 119(12), e2116870119. DOI: 10.1073/pnas.2116870119 ↗
Si ta citoni këtë faqe
ScholarGate. (2026, June 23). Support for Partisan Political Violence Measure (Lethal Partisanship Battery). ScholarGate. https://scholargate.app/sq/political-psychology/support-for-political-violence-scale
Cila metodë?
Vendoseni këtë metodë pranë të afërmeve të saj më të ngushta dhe lexojini krah për krah — biblioteka i shtron librat mbi tryezë; zgjedhja është e juaja.
- Affective Polarization MeasurementPsikologjia politike↔ krahaso
- Blatant Dehumanization ScalePsikologjia politike↔ krahaso
- Democratic Norms Support MeasurementPsikologjia politike↔ krahaso
Cituar nga
Metoda të ngjashme
Vutë re një problem në këtë faqe? Raportojeni ose sugjeroni një korrigjim →