Empathy as a Mediator of the Effect of Dark Triad Personality, Social Support, and Demographic Factors on Cyberbullying Behavior in SMAN 10 Depok Students

Bernianti Lingga Sari, Yufi Andriani
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Abstract

This study examines empathy as a mediator of the dark triad personality, social support, and demographic factors on cyberbullying behavior in SMAN 10 Depok students. The study was conducted on 428 students of SMAN 10 with purposive sampling technique. The measuring tools used in this study are Tudkuea's Cyberbullying Scale, The Short Dark Triad (SD3), The Interpersonal Reactivity Index (IRI), and the Multidimensional Scale of Perceived Social Support (MSPSS). Data analysis using Path Analyze with MPlus 7.4 software. Based on the results of the analysis of the research data, a fit model was found so that it can be concluded that the theoretical model of Empathy as a mediator of the influence of dark triad personality, social support & demographic factors on cyberbullying behavior fits with empirical data. This means that Empathy acts as a mediator of the influence of dark triad personality, social support & demographic factors on cyberbullying behavior. Then the results of research data analysis related to direct influence reported that there was a significant effect of Machiavellianism and gender directly on cyberbullying, while narcissism, psychopathy, family support, peers support, and significant others had no significant effect on cyberbullying. In addition, the results of the hypothesis test also reported that there was a direct significant effect of narcissism, peers support and gender on Empathy, while there was no significant effect of psychopathic machiavellianism, family support and significant other (teachers) directly on Empathy.
共情在黑暗人格、社会支持和人口统计学因素对大学生网络欺凌行为的影响中的中介作用
本研究探讨共情在黑暗三合一人格、社会支持和人口统计学因素对SMAN 10 Depok学生网络欺凌行为的中介作用。本研究采用有目的抽样方法对428名sman10专业学生进行调查。本研究使用的测量工具为Tudkuea网络欺凌量表、SD3 (Short Dark Triad)、IRI(人际反应指数)和MSPSS(感知社会支持多维量表)。数据分析采用Path Analyze配合MPlus 7.4软件。通过对研究数据的分析,发现了一个拟合模型,从而得出共情作为黑暗人格、社会支持和人口统计学因素对网络欺凌行为影响的中介的理论模型与实证数据相吻合。这意味着共情在黑暗人格、社会支持和人口因素对网络欺凌行为的影响中起中介作用。直接影响相关的研究数据分析结果显示,马基雅维利主义和性别对网络欺凌有显著的直接影响,而自恋、精神病、家庭支持、同伴支持和重要他人对网络欺凌没有显著影响。此外,假设检验结果还显示,自恋、同伴支持和性别对共情有直接显著影响,而心理变态马基雅维利主义、家庭支持和重要他者(教师)对共情没有直接显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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