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The Connection Between Dark Traits and Emotional Intelligence: A Multistudy Person‐Centered Approach.

  • Published In: Journal of Personality, 2025, v. 93, n. 3. P. 724 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Rico‐Bordera, Pilar; Piqueras, Jose A.; Soto‐Sanz, Victoria; Rodríguez‐Jiménez, Tíscar; Marzo, Juan C.; Galán, Manuel; Pineda, David 3 of 3

Abstract

Objective: Several studies have analyzed the relationship between Emotional Intelligence (EI) and dark personality, but the results are inconclusive. One study tested correlations between traits that may underlie a person‐centered profile of "dark EI." Our study aimed to replicate and extend that research, identifying profiles in Spaniards and examining the differences between the profiles based on different variables of interest. Method: Two studies were designed, the first one (N = 1241) focused on trait EI and the Dark Triad, and the second one expanding the previous (N = 392) focusing on ability EI and the Dark Tetrad. Results: Three profiles were obtained in both studies: nondark and non‐EI profile, dark profile, and average narcissistic and high EI profile. The latter showed the highest self‐esteem, strengths, well‐being, and civic engagement, and the lowest psychological difficulties and personal distress. Conclusions: Our results reinforced the findings of the study we replicated, not supporting the presence of dark EI, but also not supporting the presence of high EI with very low levels of dark traits. These results have implications when designing preventive actions to improve emotional education. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Personality. 2025/06, Vol. 93, Issue 3, p724
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2025
  • ISSN:0022-3506
  • DOI:10.1111/jopy.12969
  • Accession Number:184969384
  • Copyright Statement:Copyright of Journal of Personality is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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