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Journal of Psychopathology and Behavioral Assessment

Gepubliceerd in:

14-04-2021

A Dark Web of Personality: Network Analyses of Dark Personality Features and Pathological Personality Traits

Auteurs: D. Gage Jordan, Peter K. Jonason, Virgil Zeigler-Hill, E. Samuel Winer, Stephen Fletcher, Dylan Underhill

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 1/2022

Abstract

Network analysis offers an opportunity to gain a more nuanced view of the connections between the darker aspects of personality by examining the interrelationships between the components that make up these constructs. We examined the associations that five dark personality dispositions (i.e., narcissism, Machiavellianism, psychopathy, sadism, and spitefulness) had with pathological personality traits (i.e., antagonism, disinhibition, detachment, negative affectivity, and psychoticism) via network analysis. These dark personality networks were examined in four studies (N = 1800), wherein the second study attempted to replicate the network from the first study, while the last two studies incorporated more specific and independent measures of dark personality features (e.g., grandiose and vulnerable narcissism). Although there were differences across network structures in these studies, the pathological personality trait of antagonism consistently evinced high expected influence centrality (i.e., it was the most strongly connected and possibly influential trait in each network). Our discussion focuses on the implications of these results for the understanding of the connections between the darker aspects of personality.

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Of course, causal associations cannot be estimated solely with cross-sectional data, as we emphasize further in our limitations section. Cross-sectional network models are best seen as exploratory or hypothesis-generating structures.

In addition, the supplemental materials include reproducible R code, additional figures (e.g., from stability and accuracy analyses), and the data from each study. These materials are available at https://doi.org/10.17605/OSF.IO/NHG2S. Given these networks were constructed in a more exploratory manner, and that we had a broad, overarching hypothesis for antagonism, the data analytic plan was not pre-registered in an independent directory.

In fact, one interesting way to approach network construction may be to use scales that are unreliable, as this mitigates construct overlap (given most scales are constructed for latent variable modeling). However, no guides on scale construction from a network point of view currently exist.

A full write up of the main exploratory analyses that examined individual antagonism and psychoticism items in relation to the SD3 (combining data from Studies 1, 2, and 3) is available in the supplemental materials. Further, the edge weight matrices for the relationships between individual antagonism and psychoticism items and each node from each study presented in this manuscript are also available in the supplemental materials.

See Supplemental Tables 1–4 for an overview of mean scores of the scales used in each study. The mean scores for the SD3 subscales, for example, are comparable to other undergraduate and non-clinical samples (e.g., D. N. Jones & Paulhus, 2014).

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Titel: A Dark Web of Personality: Network Analyses of Dark Personality Features and Pathological Personality Traits
Auteurs: D. Gage Jordan
Peter K. Jonason
Virgil Zeigler-Hill
E. Samuel Winer
Stephen Fletcher
Dylan Underhill
Publicatiedatum: 14-04-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment / Uitgave 1/2022
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI: https://doi.org/10.1007/s10862-021-09882-3

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