Facet-level analysis of the relations between personality and laboratory aggression

Aggress Behav. 2020 May;46(3):266-277. doi: 10.1002/ab.21887. Epub 2020 Mar 9.

Abstract

Multiple reviews and meta-analyses have identified the low pole of the Five-Factor Model (FFM) Agreeableness (also called Antagonism) as the primary domain-level personality correlates of aggression across self-report and behavioral methodologies. In the current study, we expand on this literature by investigating the relations between FFM facets and aggressive behavior as measured by laboratory competitive reaction time tasks (CRTTs). Across three samples (total N = 639), we conducted weighted mean analyses, multiple regression analyses, and dominance analyses to determine which FFM facets were the strongest predictors of aggression within and across domains. These analyses suggested that facets of Agreeableness were among the strongest consistent predictors of CRTT aggression, including Sympathy (r = -.21) and Cooperation (r = -.14), but facets from other FFM domains also yielded meaningful relations (e.g., Anger from Neuroticism; r = .17). We conclude by discussing these results in the context of controversies surrounding laboratory aggression paradigms and emphasizing the importance of considering small effect sizes in the prediction of societally harmful behavior like aggression.

Keywords: antagonism; facet; five-factor model; laboratory aggression; personality.

MeSH terms

  • Aggression*
  • Emotions
  • Hostility
  • Humans
  • Models, Psychological
  • Personality Assessment / statistics & numerical data*
  • Personality Disorders / classification
  • Personality Disorders / diagnosis*
  • Personality Disorders / psychology
  • Personality Inventory / statistics & numerical data
  • Personality*