Evidence map›Paper›PMID 38371713›Full record

ArticlePsychology research and behavior management2024

A Network Analysis Approach to Understanding Centrality and Overlap of 21 Dark Triad Items in Adults of 10 Countries.

Cristian Ramos-Vera, Angel García O'Diana, Dennis Calle, Miguel Basauri-Delgado, Bruno Bonfá-Araujo, Ariela Raissa Lima-Costa, Mirko Duradoni, Shagufta Nasir, Yaquelin E Calizaya-Milla, Jacksaint Saintila

Open access · goldAbstract read
In one paragraph

Article in Psychology research and behavior management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.9field-weighted citation impact, top 17% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 8 institutions in 5 countries.

Cristian Ramos-VeraFaculty of Health Sciences, Universidad César Vallejo, Lima, Peru.
Angel García O'DianaFaculty of Health Sciences, Universidad César Vallejo, Lima, Peru.ORCID 0000-0002-1533-7760
Dennis CalleFaculty of Health Sciences, Universidad César Vallejo, Lima, Peru.
Miguel Basauri-DelgadoPostgraduate School, Universidad Femenina del Sagrado Corazón, Lima, Peru.
Bruno Bonfá-AraujoFaculty of Social Science, the University of Western Ontario, London, Canada.
Ariela Raissa Lima-CostaGraduate Program of Psychology, Universidade São Francisco, Campinas, Brazil.
Mirko DuradoniDepartment of Education, Literatures, Intercultural Studies, Languages and Psychology, University of Florence, Florence, Italy.ORCID 0000-0001-8272-9484
Shagufta NasirDepartment of Psychiatry and Forensic Medicine, School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
Yaquelin E Calizaya-MillaFaculty of Health Sciences, Universidad Peruana Unión, Lima, Peru.
Jacksaint SaintilaFaculty of Health Sciences, Universidad Señor de Sipán, Chiclayo, Peru.ORCID 0000-0002-7340-7974
Universidad César Vallejo · PEUniversidade São Francisco · BRUniversidad Femenina del Sagrado Corazón · PEUniversidad Peruana Unión · PEUniversidad Señor de Sipán · PEUniversitat Autònoma de Barcelona · ESUniversity of Florence · ITWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous research has suggested that manipulation and callousness are central to Dark Triad traits, but it has not identified which specific manifestations are expressed across various countries. Objective: This study aimed to identify the core and overlapping manifestations of Dark Triad traits across 10 countries. Methods: We used the Short Dark Triad (SD3) scale and assessed a sample of 8093 participants (59.7% women, M(age) = 32.68 years). For graphical representation, the spinglass algorithm was applied to understand the cluster distribution among Machiavellianism, psychopathy, and subclinical narcissism traits. Centrality indices were used to identify the most influential items, and the clique-percolation algorithm was employed to detect shared attributes among multiple Dark Triad items. Results: Straightforward SD3-21 items demonstrated better interpretability as aversive traits within the broader system. Items with higher centrality values were those related to short-term verbal manipulation from the psychopathy domain, clever manipulation, strategic revenge-seeking from Machiavellianism, and narcissistic motivations for connecting with significant individuals. The most predicted items were linked to planned revenge, using information against others from Machiavellianism, short-term psychopathic verbal manipulation, and narcissistic belief of specialness based on external validation. Items like short-term verbal manipulation had overlaps with both psychopathy and narcissism clusters, while clever manipulation overlapped with Machiavellianism and psychopathy. Conclusion: This cross-cultural study highlights the central role of verbal manipulation within the Dark Triad traits, along with identifying overlapping items among traits measured using straightforward SD3 scale items. In line with our findings, future research that incorporates a wide range of cultural contexts is encouraged to establish the consistency of these findings with the SD3 Scale or alternative measures.

Indexed as

cross-culturaldark triad traitsnetwork analysispersonalitysubclinical traits

Identifiers

PMID38371713
PMCPMC10870934
OpenAlexW4391749330

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.