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Distrustful, Dissatisfied, and Conspiratorial: A Latent Profile Analysis of COVID-19 Vaccination Rejection

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  • Monika Lamot

    (Department of Sociology, Faculty of Arts, University of Maribor, 2000 Maribor, Slovenia)

  • Katja Kerman

    (Department of Psychology, Faculty of Arts, University of Maribor, 2000 Maribor, Slovenia)

  • Andrej Kirbiš

    (Department of Sociology, Faculty of Arts, University of Maribor, 2000 Maribor, Slovenia)

Abstract

Trust in science and scientists, satisfaction with the national government, and endorsement of conspiracy theories are important factors in the decision to be vaccinated. In this study, we investigated whether there are different profiles of individuals depending on the above factors and whether they differ in their sociodemographic composition. We used data from Round 10 of the European Social Survey for Slovenia, employing a nationally representative sample of 1252 participants. Based on latent profile analysis, three distinct profiles emerged: Profile 1 expressed moderate trust in science, satisfaction with government, and high endorsement of conspiracies; Profile 2 expressed low trust and satisfaction and moderate endorsement of conspiracies; Profile 3 expressed high trust and satisfaction and low beliefs in conspiracy theories. In addition, Profile 3 expressed the strongest support for vaccination and Profile 2 the lowest. Our results suggest that distrust, dissatisfaction, and the presence of conspiracy theories are the “perfect storm” for vaccination rejection. In contrast, despite conspiracy theories, a certain level of trust and satisfaction may reduce vaccination rejection.

Suggested Citation

  • Monika Lamot & Katja Kerman & Andrej Kirbiš, 2022. "Distrustful, Dissatisfied, and Conspiratorial: A Latent Profile Analysis of COVID-19 Vaccination Rejection," IJERPH, MDPI, vol. 19(16), pages 1-11, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10096-:d:888949
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    References listed on IDEAS

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    1. Nejc Plohl & Bojan Musil, 2022. "Understanding, Trusting, and Applying Scientific Insights to Improve Your Health: A Latent Profile Analysis Approach," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
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    Cited by:

    1. Xueyan Li & Ping Fu & Min Li, 2022. "The Complex Media Effects on Civic Participation Intention Amid COVID-19 Pandemic: Empirical Evidence from Wuhan College Students," IJERPH, MDPI, vol. 19(17), pages 1-15, September.

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