9
views
0
recommends
+1 Recommend
5 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Populist Attitudes Predict Compliance-Related Attitudes and Behaviors During the COVID-19 Pandemic Via Trust in Institutions

      1 , 1 , 1 , 2
      Social Psychology
      Hogrefe Publishing Group

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Abstract. While previous research discussed populism as a phenomenon of declining trust, we investigated the predictive value of populist attitudes for citizens’ trust, attitudes, and behaviors during the COVID-19 pandemic. Moreover, we tested the role of trust in several institutions simultaneously. As preregistered, the cross-sectional ( N = 1,090) and longitudinal ( n = 216) data collected (April to June, 2020) in Germany ( n = 617) and Poland ( n = 473) showed that stronger populist attitudes predicted higher trust in (a) alternative news media but less trust in (b) mainstream news media, (c) political institutions, and (d) scientific institutions. Moreover, we found negative effects of populist attitudes on acceptance and compliance, mediated via trust in political and scientific institutions (but not news media).

          Related collections

          Most cited references69

          • Record: found
          • Abstract: found
          • Article: not found

          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Using social and behavioural science to support COVID-19 pandemic response

            The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behaviour with the recommendations of epidemiologists and public health experts. Here we discuss evidence from a selection of research topics relevant to pandemics, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping. In each section, we note the nature and quality of prior research, including uncertainty and unsettled issues. We identify several insights for effective response to the COVID-19 pandemic and highlight important gaps researchers should move quickly to fill in the coming weeks and months.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The Populist Zeitgeist

              Cas Mudde (2004)
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Social Psychology
                Social Psychology
                Hogrefe Publishing Group
                1864-9335
                2151-2590
                January 2023
                January 2023
                : 54
                : 1-2
                : 78-94
                Affiliations
                [1 ]Department of Psychology, University of Koblenz-Landau, Campus Landau, Germany
                [2 ]Institute of Psychosocial Medicine, Psychotherapy and Psychooncology, University Hospital Jena, Jena, Germany
                Article
                10.1027/1864-9335/a000500
                42a17cae-d41f-4dea-a9a6-c009b485e558
                © 2023
                History

                Comments

                Comment on this article