Abstract
Rationale: This investigation explores the multidimensionality and interrelatedness of the dark tetrad traits through empirical network analyses.
Methods: Online participants (Total N = 821) completed eight self-report measures. Gaussian Graphical models (GGMs) were conducted to examine the connectivity and centrality of facets within each domain independently, and the dark triad and tetrad models. Exploratory Graph Analyses (EGAs) were established from Sample One, and replicabilities were checked with Sample Two.
Results: All GGMs presented appropriate stabilities and indicated central facets within each tetrad domain. Antagonism, as assessed by the Five-Factor Narcissism Inventory Super-Short form, had the greatest expected influence in both dark triad and tetrad networks. The same facet had the highest degree of centrality within the triad, and the second highest centrality within the tetrad. Within the EGAs, item level clustering indicated structures for the four independent domains, and clusters suggested structural organizations of the dark triad and tetrad facets.
Implications: The GGM results support previous evidence indicating antagonism to be a core feature within the dark triad and provide nuanced evidence for the influence of antagonism within the tetrad. The intricate structures suggested by the EGAs indicate that future research should prioritize assessments, which account for tetrad trait multidimensionality.
Methods: Online participants (Total N = 821) completed eight self-report measures. Gaussian Graphical models (GGMs) were conducted to examine the connectivity and centrality of facets within each domain independently, and the dark triad and tetrad models. Exploratory Graph Analyses (EGAs) were established from Sample One, and replicabilities were checked with Sample Two.
Results: All GGMs presented appropriate stabilities and indicated central facets within each tetrad domain. Antagonism, as assessed by the Five-Factor Narcissism Inventory Super-Short form, had the greatest expected influence in both dark triad and tetrad networks. The same facet had the highest degree of centrality within the triad, and the second highest centrality within the tetrad. Within the EGAs, item level clustering indicated structures for the four independent domains, and clusters suggested structural organizations of the dark triad and tetrad facets.
Implications: The GGM results support previous evidence indicating antagonism to be a core feature within the dark triad and provide nuanced evidence for the influence of antagonism within the tetrad. The intricate structures suggested by the EGAs indicate that future research should prioritize assessments, which account for tetrad trait multidimensionality.
Original language | English |
---|---|
Publication status | Published - 18 Jul 2023 |
Event | Conference of the International Society for the Study of Individual Differences 2023 - Belfast, Belfast, United Kingdom Duration: 17 Jul 2023 → 21 Jul 2023 https://www.qub.ac.uk/schools/psy/ISSIDConference2023/ |
Conference
Conference | Conference of the International Society for the Study of Individual Differences 2023 |
---|---|
Abbreviated title | ISSID 2023 |
Country/Territory | United Kingdom |
City | Belfast |
Period | 17/07/2023 → 21/07/2023 |
Internet address |
Fingerprint
Dive into the research topics of 'Mapping the manipulative: Appraising the structure of dark personalities through psychometric network analysis '. Together they form a unique fingerprint.Student theses
-
Improving the assessment of dark personalities for the prediction of stress and cognitive performance
Welsh, C. A. (Author), Papageorgiou, K. (Supervisor), Doumas, M. (Supervisor), Gerlach, T. (Supervisor) & Truhan, T. (Assistant Supervisor), Jul 2025Student thesis: Doctoral Thesis › Thesis with Publications