Evidence map›Paper›PMID 39966564›Full record

ArticleScientific reports2025

A computational framework to study the etiology of grandiose narcissism.

Deborah M Löschner, Martin Schoemann, Emanuel Jauk, Lena Herchenhahn, Sarah Schwöbel, Philipp Kanske, Stefan Scherbaum

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Deborah M LöschnerInstitute of Work, Organisational and Social Psychology, Technische Universität Dresden, 01069, Dresden, Germany. deborah_maria.loeschner@tu-dresden.de.
Martin SchoemannInstitute of General Psychology, Biopsychology and Methods of Psychology, Technische Universität Dresden, 01069, Dresden, Germany.
Emanuel JaukDepartment of Medical Psychology, Psychosomatics, and Psychotherapy, Medical University of Graz, 8036, Graz, Austria.
Lena HerchenhahnInstitute of Psychology, Christian-Albrechts-Universität Zu Kiel, 24118, Kiel, Germany.
Sarah SchwöbelInstitute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, 01187, Dresden, Germany.
Philipp KanskeInstitute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, 01187, Dresden, Germany.
Stefan ScherbaumInstitute of General Psychology, Biopsychology and Methods of Psychology, Technische Universität Dresden, 01069, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

NarcissismSelf ConceptAdolescentAdultComputer SimulationFemaleHumansMaleModels, PsychologicalYoung AdultAgent-based modelingComputational psychologyEtiologyNarcissismPersonality

Identifiers

PMID39966564
PMCPMC11836455

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.