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Individual-Community Misalignment in Partisan Identity Predicts Distancing From Norms During the COVID-19 Pandemic.
Reid, Allecia E; Eamiello, Madison L; Mah, Andrea; Dixon-Gordon, Katherine L; Lickel, Brian; Markowitz, Ezra; Nteta, Tatishe M; Ginn, Joel; Suh, Se Min.
Afiliación
  • Reid AE; University of Massachusetts Amherst, USA.
  • Eamiello ML; University of Massachusetts Amherst, USA.
  • Mah A; University of Massachusetts Amherst, USA.
  • Dixon-Gordon KL; University of Massachusetts Amherst, USA.
  • Lickel B; University of Massachusetts Amherst, USA.
  • Markowitz E; University of Massachusetts Amherst, USA.
  • Nteta TM; University of Massachusetts Amherst, USA.
  • Ginn J; University of Massachusetts Amherst, USA.
  • Suh SM; University of Massachusetts Amherst, USA.
Soc Psychol Personal Sci ; 14(5): 539-550, 2023 Jun.
Article en En | MEDLINE | ID: mdl-37220499
This study investigated whether misalignment between an individual and their community in partisan identity predicted psychological and behavioral distancing from local COVID-19 norms. A nationally representative sample of Republicans and Democrats provided longitudinal data in April (N = 3,492) and June 2020 (N = 2,649). Democrats in Republican communities reported especially heightened better-than-average estimates, perceiving themselves as more adherent to and approving of non-pharmaceutical interventions (NPI; e.g., mask wearing) than their community. Democrats'better-than-average estimates reflected high approval and behavior in Republican communities and substantial norm underestimation. Republicans in Democratic communities did not evidence worse-than-average estimates. In longitudinal models, injunctive norms only predicted NPI behavior when individual and community partisan identity were aligned. The strong personal approval-behavior association did not depend on misalignment; there were no effects of descriptive norms. Normative messages may have limited efficacy for a sizable subpopulation in politically polarized contexts, such as the COVID-19 pandemic.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Soc Psychol Personal Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Soc Psychol Personal Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos