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Individual, Family, and Community Predictors of Cyber-aggression among Adolescents
The European Journal of Psychology Applied to Legal Context ( IF 7.6 ) Pub Date : 2018-01-01 , DOI: 10.5093/ejpalc2018a8
David Álvarez-García , José Carlos Núñez , Trinidad García , Alejandra Barreiro-Collazo

The objective of this article is to the predictive capacity of some individual, family, and community variables concerning the likelihood that a teenager will engage in aggressive behavior toward others using a mobile phone or the Internet, occasionally or intensely, controlling for the effect of potential confounding variables. To that end, the Cyber-Aggression Questionnaire for Adolescents (CYBA) as well as previously validated scales for the evaluation of the potential indicators d were applied to 3,059 adolescents 12 to 18 years of age (M = 14.01, SD = 1.39). The aforementioned scales sociodemographic variables (age and sex) and variables referring to the use of the Internet (social networks, instant messaging programs, and the Internet for non-school tasks), parental control (behavioral control, rules for the use of the Internet, Internet use monitoring, and affection and communication), personality (impulsivity and empathy), antisocial behavior (frequency of aggression toward others at school, antisocial behavior outside the school, and antisocial friendships), and frequency of cyber-victimization. Multivariate regression analyses highlight the predictive capacity of impulsivity, aggression at school, and cyber-victimization as risk factors of cyber-aggression. They also suggest the existence of indirect or even spurious relationships between some of the variables d and cyber-aggression. We discuss the practical implications of these results.

中文翻译:

青少年网络侵害的个人,家庭和社区预测因素

本文的目的是预测一些个人,家庭和社区变量的预测能力,这些变量涉及青少年偶尔或强烈使用手机或互联网对他人采取攻击性行为的可能性,以控制潜在的影响令人困惑的变量。为此,对30到12岁至18岁的青少年使用了网络攻击青少年调查表(CYBA)以及先前验证的评估潜在指标d的量表(M = 14.01,SD = 1.39)。前面提到的社会人口统计学变量(年龄和性别)和变量涉及互联网的使用(社交网络,即时消息传递程序和用于非学校任务的互联网),父母控制(行为控制,互联网使用规则) ,互联网使用情况监视,情感和沟通),个性(冲动和同理心),反社会行为(在学校对他人的攻击频率,校外的反社会行为和反社会友谊)以及网络受害频率。多元回归分析突出了冲动性,在学校的攻击性和网络受害性作为网络攻击风险因素的预测能力。他们还暗示,某些变量d与网络攻击之间存在间接或什至虚假的关系。我们讨论了这些结果的实际含义。网络受害者的频率和频率。多元回归分析突出了冲动性,在学校的攻击性和网络受害性作为网络攻击风险因素的预测能力。他们还暗示,某些变量d与网络攻击之间存在间接或什至虚假的关系。我们讨论了这些结果的实际含义。网络受害者的频率和频率。多元回归分析突出了冲动性,在学校的侵略性和网络受害性作为网络侵害风险因素的预测能力。他们还暗示,某些变量d与网络攻击之间存在间接或什至虚假的关系。我们讨论了这些结果的实际含义。
更新日期:2018-01-01
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