Chen Dan, Sun Hongmei
School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Psychol Rep. 2025 Jan 10:332941251314732. doi: 10.1177/00332941251314732.
Individuals' involvement in reactive and proactive online aggression has garnered widespread concern from various societal sectors, marking it as a critical indicator of individual social development. The influencing factors that might exist for both reactive and proactive online aggression have been little explored. Understanding these could help us develop more effective intervention strategies, targeting individuals who exhibit both types of aggression. Structural Equation Modeling was used to examine the relationship between trait anger and hostile attribution bias on reactive and proactive online aggression. A total of 1075 college students (M = 19.96 ± 1.54 years) completed assessments related to trait anger, hostile attribution bias, self-control, and reactive and proactive online aggression. Hostile attribution bias partially mediates the association between trait anger and both forms of aggression, while self-control moderates the association between trait anger and hostile attribution bias and both types of aggression. Illustratively, individuals with high self-control can better buffer both the direct effects of trait anger and the indirect effects of hostile attribution bias on reactive and proactive online aggression. This result provides empirical support for the Integrative Cognitive Model, ICM. Our findings may provide educational practitioners with important information regarding intervention design.
个体参与反应性和主动性网络攻击行为已引起社会各界的广泛关注,这标志着它是个体社会发展的一个关键指标。对于反应性和主动性网络攻击行为可能存在的影响因素,人们很少进行探究。了解这些因素有助于我们制定更有效的干预策略,针对表现出这两种攻击行为类型的个体。采用结构方程模型来检验特质愤怒与敌意归因偏差在反应性和主动性网络攻击行为上的关系。共有1075名大学生(平均年龄M = 19.96 ± 1.54岁)完成了与特质愤怒、敌意归因偏差、自我控制以及反应性和主动性网络攻击行为相关的评估。敌意归因偏差部分中介了特质愤怒与两种攻击行为形式之间的关联,而自我控制调节了特质愤怒与敌意归因偏差以及两种攻击行为类型之间的关联。具体而言,具有高自我控制能力的个体能够更好地缓冲特质愤怒对反应性和主动性网络攻击行为的直接影响以及敌意归因偏差的间接影响。这一结果为综合认知模型(ICM)提供了实证支持。我们的研究结果可能会为教育从业者提供有关干预设计的重要信息。