The Spanish Short Dark Tetrad (SD4): Association With Personality and Psychological Problems.


Journal

Psicothema
ISSN: 1886-144X
Titre abrégé: Psicothema
Pays: Spain
ID NLM: 101189384

Informations de publication

Date de publication:
May 2024
Historique:
medline: 25 4 2024
pubmed: 25 4 2024
entrez: 25 4 2024
Statut: ppublish

Résumé

The Short Dark Tetrad (SD4) is a recently developed instrument for assessing the "dark" personality traits of psychopathy, narcissism, Machiavellianism, and sadism. We aimed to examine the SD4's psychometric properties, adapting it into Spanish and exploring its structure, gender invariance, reliability, concurrent validity, and nomological network. A sample of 668 adults ( = 26.36, = 10.64, 69.2% females) completed the SD4 and other self-report questionnaires. The results demonstrated sound indices of reliability and concurrent validity, an adequate four-factor structure, and support for gender invariance. Furthermore, most of the findings about the nomological network were in line with prior hypotheses: All four SD4 scales were associated with low levels of agreeableness and antagonism; psychopathy was also related to low conscientiousness, disinhibition and impulse-control problems; narcissism was positively associated with extraversion and negatively associated with internalizing symptoms; Machiavellianism was uncorrelated with impulsivity-related problems, which made it distinct from the psychopathy profile; finally, sadism showed a similar pattern of associations to psychopathy, albeit less strongly linked to impulsivity problems and externalizing behavior. Overall, the SD4 presents sound psychometric properties, although the overlap between psychopathy and sadism warrants some caution.

Sections du résumé

BACKGROUND BACKGROUND
The Short Dark Tetrad (SD4) is a recently developed instrument for assessing the "dark" personality traits of psychopathy, narcissism, Machiavellianism, and sadism. We aimed to examine the SD4's psychometric properties, adapting it into Spanish and exploring its structure, gender invariance, reliability, concurrent validity, and nomological network.
METHOD METHODS
A sample of 668 adults ( = 26.36, = 10.64, 69.2% females) completed the SD4 and other self-report questionnaires.
RESULTS RESULTS
The results demonstrated sound indices of reliability and concurrent validity, an adequate four-factor structure, and support for gender invariance. Furthermore, most of the findings about the nomological network were in line with prior hypotheses: All four SD4 scales were associated with low levels of agreeableness and antagonism; psychopathy was also related to low conscientiousness, disinhibition and impulse-control problems; narcissism was positively associated with extraversion and negatively associated with internalizing symptoms; Machiavellianism was uncorrelated with impulsivity-related problems, which made it distinct from the psychopathy profile; finally, sadism showed a similar pattern of associations to psychopathy, albeit less strongly linked to impulsivity problems and externalizing behavior.
CONCLUSIONS CONCLUSIONS
Overall, the SD4 presents sound psychometric properties, although the overlap between psychopathy and sadism warrants some caution.

Identifiants

pubmed: 38661166
pii: 4845
doi: 10.7334/psicothema2023.172
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

195-204

Auteurs

Laura Mezquita (L)

Universitat Jaume I (Spain); CIBERSAM ISCIII (Spain). https://orcid.org/0000-0001-6042-599X.

Verónica Vidal-Arenas (V)

Universitat Jaume I (Spain). https://orcid.org/0000-0001-7014-4649.

Manuel I Ibáñez (MI)

Universitat Jaume I (Spain); CIBERSAM ISCIII (Spain). https://orcid.org/0000-0001-8611-7530.

Generós Ortet (G)

Universitat Jaume I (Spain); CIBERSAM ISCIII (Spain). https://orcid.org/0000-0002-3576-5316.

Jordi Ortet-Walker (J)

Universitat Jaume I (Spain); Hogrefe TEA Ediciones (Spain). https://orcid.org/0000-0002-5055-543X.

Carlo Garofalo (C)

Università degli Studi di Perugia (Italy). https://orcid.org/0000-0003-2306-6961.

Stefan Bogaerts (S)

Tilburg University (Netherlands). https://orcid.org/0000-0003-3776-3792.

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Classifications MeSH