A computational framework to study the etiology of grandiose narcissism
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Grandiose narcissism is characterized by ambivalent interaction behavior (i.e., grandiose self-presentation and rivalrous devaluation of others) and strong oscillations in self-esteem over time. In the light of emotional and social problems associated with these self-esteem regulation patterns and the increasing prevalence of narcissistic tendencies, causal and formalized models for prevention and intervention are needed. Here, we present a computational model of narcissistic self-esteem regulation implementing established, verbal theories of narcissism to identify key etiological and disorder-maintaining mechanisms. Across four studies, we show that parental praise and overvaluation lead to typical grandiose-narcissistic behavioral patterns (i.e., entitled self-presentation and rivalry) and strong self-esteem oscillations. Underlying these phenomena, we identify two maintaining mechanisms that offer targets for intervention and empirical falsification: tolerance development, characterized by an ever-increasing desire for social recognition, and a vicious cycle of rivalry, characterized by the frequent use of other-devaluing behavior and massive drops in self-esteem.
Details
Original language | English |
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Article number | 5897 |
Journal | Scientific reports |
Volume | 15 |
Issue number | 1 |
Publication status | Published - 18 Feb 2025 |
Peer-reviewed | Yes |
External IDs
PubMed | 39966564 |
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ORCID | /0000-0002-4408-6016/work/180372453 |
ORCID | /0000-0002-2531-4175/work/180372456 |
Keywords
ASJC Scopus subject areas
Keywords
- Agent-based modeling, Computational psychology, Etiology, Narcissism, Personality