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Can your darkness be measured?: Analyzing the full and brief version of the Dark Factor of Personality in Swedish
Department of Psychology, Lund university, Lund (SWE).
Department of Psychology, Lund university, Lund (SWE).ORCID iD: 0000-0002-0265-0635
University West, Department of Social and Behavioural Studies, Division of Psychology, Pedagogy and Sociology. Department of Psychology, Lund university, Lund (SWE).ORCID iD: 0000-0003-0629-353X
2023 (English)In: International Journal of Testing, ISSN 1530-5058, E-ISSN 1532-7574, p. 1-45Article in journal (Refereed) Epub ahead of print
Abstract [en]

The Dark Factor of Personality (D) measures the latent core of antagonistic traits. The present study evaluated the psychometric properties of the Swedish version of the full (D70) and the brief (D16) versions, concerning structural validity, item information, and convergent validity. An online sample (N = 294) was analyzed using CFA (Maximum Likelihood Estimation), IRT (Graded Response Model) and SEM (latent correlations). Firstly, the original theorized bifactor model for D70 and a single-factor model for D16 showed good fit to the data. Moreover, new reliability-analyses based on FD and H indicated that the D70 favorably can be collapsed into a unidimensional measure, which is further discussed. Secondly, the IRT-analyses present valid item quality and functioning and showed that items provide the most information on trait levels above mean levels. Lastly, convergent SEM-analyses showed that D had high latent trait correlations to psychopathy and Machiavellianism, but not to narcissism. The correlations with the Big Six personality factors (mini-IPIP6) yielded expected high correlations with Agreeableness and Honesty-Humility. The Swedish translation of the full D70 and brief D16 is recommended for use in future research.

Place, publisher, year, edition, pages
2023. p. 1-45
Keywords [en]
CFA, dark factor, IRF, personality
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:hv:diva-19993DOI: 10.1080/15305058.2023.2195659ISI: 000972048700001Scopus ID: 2-s2.0-85153337145OAI: oai:DiVA.org:hv-19993DiVA, id: diva2:1762122
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Available from: 2023-06-02 Created: 2023-06-02 Last updated: 2024-04-10

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Kajonius, Petri

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