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

机译:平面水平分析人格与实验室侵略关系

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摘要

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.
机译:多评价和荟萃分析已经确定了五因素模型(FFM)的低极(FFM)协商(也称为对抗),因为主要领域级人格与自我报告和行为方法的侵略相关。在目前的研究中,我们通过调查通过实验室竞争反应时间任务(CRTTS)测量的FFM方面和攻击性行为之间的关系来扩展本文。在三个样本中(总N = 639),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面部是在域内和跨域侵略的最强预测因子。这些分析表明,协商的方面是CRTT侵略的最强大一致预测因子,包括同情(R = -.21)和合作(R = -.14),但其他FFM域的小面也产生了有意义的关系(例如,愤怒从神经质; r = .17)。我们通过讨论这些结果在围绕实验室侵略范例的争议的背景下讨论这些结果,并强调在预测侵略等社会有害行为的预测中考虑小效果大小的重要性。

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