Department of Psychology, University of Georgia, Athens, Georgia.
Department of Psychology, Virginia Commonwealth University, Richmond, Virginia.
Aggress Behav. 2020 May;46(3):266-277. doi: 10.1002/ab.21887. Epub 2020 Mar 9.
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.
多项综述和荟萃分析已经确定了五因素模型（FFM）中低极点的宜人性（也称为对抗性）是自我报告和行为方法中攻击性的主要领域水平人格相关性。在本研究中，我们通过研究实验室竞争反应时间任务（CRTT）测量的 FFM 方面与攻击性之间的关系，扩展了这一文献。在三个样本（总计 N=639）中，我们进行了加权平均分析、多元回归分析和优势分析，以确定哪些 FFM 方面是跨领域和领域内攻击性的最强预测因素。这些分析表明，宜人性方面是 CRTT 攻击性的最强一致预测因素之一，包括同情心（r=-.21）和合作（r=-.14），但其他 FFM 领域的方面也产生了有意义的关系（例如，神经质中的愤怒；r=-.17）。最后，我们在围绕实验室攻击性范式的争议背景下讨论了这些结果，并强调了在预测像攻击性这样对社会有害的行为时考虑小效应量的重要性。
