Individual–Community Misalignment in Partisan Identity Predicts Distancing From Norms During the COVID-19 Pandemic

Author:

Reid Allecia E.1ORCID,Eamiello Madison L.1,Mah Andrea1,Dixon-Gordon Katherine L.1,Lickel Brian1,Markowitz Ezra1,Nteta Tatishe M.1,Ginn Joel1,Suh Se Min1

Affiliation:

1. University of Massachusetts Amherst, USA

Abstract

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.

Funder

Division of Behavioral and Cognitive Sciences

national science foundation

A.R.

Publisher

SAGE Publications

Subject

Clinical Psychology,Social Psychology

Reference52 articles.

1. Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19

2. Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic

3. Bird R., Ritter Z. (2020). Is the media creating division on COVID-19 health practices? Gallup. https://news.gallup.com/poll/312749/media-creating-division-covid-health-practices.aspx

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3