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Area of Science:

  • Psychology
  • Personality Science
  • Clinical Psychology

Background:

  • The Dark Triad (narcissism, Machiavellianism, psychopathy) describes socially aversive personality traits.
  • Vulnerable and traditional expressions of these traits require nuanced assessment.
  • The Five-Factor Model Antagonistic Triad Measure (FFM ATM) aims to capture these dimensions.

Purpose of the Study:

  • To evaluate the Five-Factor Model Antagonistic Triad Measure (FFM ATM)'s ability to capture traditional and vulnerable Dark Triad traits.
  • To assess the FFM ATM's predictive validity concerning borderline personality disorder (BPD) traits.
  • To explore the FFM ATM's factor structure and its relationship with BPD.

Main Methods:

  • A sample of 326 university students (aged 18-24) completed the FFM ATM, Five-Factor Borderline Inventory-Super Short Form (FFBI-SSF), and other relevant personality measures.
  • Statistical analyses included variance accounting, incremental validity testing, and exploratory factor analysis.

Main Results:

  • The FFM ATM explained significant variance in traditional Dark Triad traits, secondary psychopathy, and vulnerable narcissism.
  • The FFM ATM was less successful in predicting borderline personality disorder (BPD) traits.
  • Supplementing the FFM ATM with FFBI-SSF items improved BPD trait prediction and revealed a distinct BPD-like factor.

Conclusions:

  • The FFM ATM offers a concise framework for assessing antagonistic and vulnerable Dark Triad traits.
  • Additional measures, such as the FFBI-SSF, are beneficial for a more complete assessment of BPD traits.
  • The findings highlight the utility and limitations of the FFM ATM in personality assessment.