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The common-is-moral association is stronger among less religious people

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Listed:
  • Kimmo Eriksson

    (Institute for Futures Studies
    Mälardalen University)

  • Irina Vartanova

    (Institute for Futures Studies)

  • Petra Ornstein

    (Uppsala University)

  • Pontus Strimling

    (Institute for Futures Studies)

Abstract

Questionable behaviours that are perceived as more common also tend to be judged as more morally justified. Here we explore this phenomenon in survey data from 31 countries in the European Values Study, allowing us to examine the universality of the common-is-moral association. More than 35,000 participants rated eight questionable behaviours (e.g., cheating on taxes, having casual sex) on how frequent they are and how justified they are. We estimated common-is-moral associations both across individuals for each behaviour and across behaviours within each individual; in both cases, the association tended to be positive. We further examined the hypothesis that the common-is-moral association would be stronger among less religious people, who are less likely to adopt their moral judgements from religious authorities and therefore should be more susceptible to the heuristic of using the perceived commonness of a behaviour as a guide to how it should be morally judged. Indeed, we found the common-is-moral association to be somewhat stronger among less religious people, whether the association was estimated across individuals or within individuals. We discuss alternative explanations, implications and directions for future research.

Suggested Citation

  • Kimmo Eriksson & Irina Vartanova & Petra Ornstein & Pontus Strimling, 2021. "The common-is-moral association is stronger among less religious people," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.
  • Handle: RePEc:pal:palcom:v:8:y:2021:i:1:d:10.1057_s41599-021-00791-0
    DOI: 10.1057/s41599-021-00791-0
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    References listed on IDEAS

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    1. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    2. Eriksson, Kimmo & Strimling, Pontus & Coultas, Julie C., 2015. "Bidirectional associations between descriptive and injunctive norms," Organizational Behavior and Human Decision Processes, Elsevier, vol. 129(C), pages 59-69.
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    Cited by:

    1. Sania Ashraf & Cristina Bicchieri & Upasak Das. Alex Shpenev, 2023. "Valuing Open Defecation Free Surroundings: Experimental Evidence from a Norm-Based Intervention in India," Papers 2312.16205, arXiv.org.

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