JOURNAL ARTICLE

Avoidance coping explains the link between narcissism and counternormative tendencies.

  • Published In: British Journal of Social Psychology, 2025, v. 64, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Podsiadłowski, Wojciech; Marchlewska, Marta; Rogoza, Marta; Molenda, Zuzanna; Cichocka, Aleksandra 3 of 3

Abstract

Previous research linked counternormative tendencies (e.g., conspiracy beliefs, cyberbullying, and catfishing) to narcissism—a personality trait characterized by difficulties in experiencing psychological threats. We argue that avoidance coping with stress favours attitudes and behaviours that allow for deflecting from stressful events and releasing one's stress at the expense of others. Thus, we hypothesized that avoidance coping might explain why narcissism favours counternormative tendencies. We conducted four studies (total N = 2643) in the United States and Poland to examine avoidance coping as a mediator of the relationship between narcissism and counternormative tendencies: conspiracy beliefs (Studies 1–4), willingness to conspire (Studies 2–4), cyberbullying (Studies 3–4) and catfishing (Study 4). All studies found a consistent positive indirect relationship between various forms of narcissism and counternormative tendencies via avoidance coping. These findings suggest that counternormative tendencies might reflect using maladaptive coping strategies. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Social Psychology. 2025/04, Vol. 64, Issue 2, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0144-6665
  • DOI:10.1111/bjso.12816
  • Accession Number:184713724
  • Copyright Statement:Copyright of British Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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