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Moral Identity Predicts Adherence to COVID-19 Mitigation Procedures Depending on Political Ideology: A Comparison Between the USA and New Zealand. | LitMetric

AI Article Synopsis

  • Understanding societal compliance with COVID-19 mitigations is crucial for improving public health policy, particularly how moral identity influences behavior.
  • The study suggests that in politically polarized environments like the USA, liberals' moral identity correlates more strongly with compliance than conservatives', while this effect is weaker in less polarized societies like New Zealand.
  • Findings indicate that both moral identity and the political landscape should be considered in strategies to enhance compliance with health measures.

Article Abstract

Reducing the spread of infectious viruses (e.g., COVID-19) can depend on societal compliance with effective mitigations. Identifying factors that influence adherence can inform public policy. In many cases, public health messaging has become highly moralized, focusing on the need to act for the greater good. In such contexts, a person's moral identity may influence behavior and serve to increase compliance through different mechanisms: if a person sees compliance as the right thing to do (internalization) and/or if a person perceives compliance as something others will notice as the right thing to do (symbolization). We argue that in societies that are more politically polarized, people's political ideology may interact with their moral identity to predict compliance. We hypothesized that where polarization is high (e.g., USA), moral identity should positively predict compliance for liberals to a greater extent than for conservatives. However, this effect would not occur where polarization is low (e.g., New Zealand). Moral identity, political ideology, and support for three different COVID-19 mitigation measures were assessed in both nations ( = 1,980). Results show that while moral identity can influence compliance, the political context of the nation must also be taken into account.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349772PMC
http://dx.doi.org/10.1111/pops.12838DOI Listing

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