吴荣,陈再琴,李丹,刘玉,王菁浩,严征
WU Rong,CHEN Zaiqin,LI Dan,LIU Yu,WANG Jinghao,YAN Zheng

• 1:贵州医科大学公共卫生学院
• 2:贵州医科大学
• 3:贵州医科大学口腔医学院

摘要(Abstract)：

目的:了解贵阳市高校贫困学生受网络欺凌的现状及影响因素。方法:采用自编调查表和受网络欺凌行为问卷对贵阳市962名贫困学生和860名非贫困学生进行问卷调查,了解2组学生受网络欺凌的总体得分;观察贫困学生在性别、学生类别、民族、独生子女、家庭类型、与父母关系、学习成绩、是否学生干部、是否玩网络游戏及健康自评等不同特征下受网络欺凌得分;以受网络欺凌总分为因变量、分别对人口统计学特征进行单因素分析,以结果有统计学意义的变量为自变量、对贫困学生受网络欺凌影响因素的最优回归分析。结果:贵阳市高校贫困学生在网络言语欺凌、网络隐匿身份及网络伪造欺诈3个受网络欺凌维度及总分上均高于非贫困学生(P<0.05);贫困学生中,男生在网络言语欺凌、网络隐匿身份及网络伪造欺诈3个受网络欺凌维度及总分上均高于女生(P<0.01);除网络隐匿身份维度外(P>0.05),与父母关系差、是学生干部的学生在网络言语欺凌维度、网络伪造欺诈维度及总分均高于与父母关系好、非学生干部的学生(P<0.05);除网络言语欺凌维度外(P>0.05),学习成绩差的学生在网络隐匿身份维度、网络伪造欺诈维度及总分上均高于学习成绩好的学生(P<0.01);除网络伪造欺诈维度外(P>0.05),玩网络游戏的学生在网络言语欺凌维度、网络隐匿身份维度及总分上均高于不玩网络游戏的学生(P<0.01);健康自评差的学生在网络隐匿身份维度上高于健康自评好的学生(P<0.05);最优回归分析显示,性别、与父母关系、学习成绩及是否学生干部是受网络欺凌的影响因素。结论:与非贫困学生相比,贫困学生较易遭受网络欺凌,其影响因素涉及学生自身、学校环境及家庭关系等方面。
Objective: To observe the current situation and influencing factors of cyberbullying among poor students in colleges in Guiyang, China. Methods: A self-made questionnaire and a cyberbullying behavior questionnaire were used to survey 962 poor students and 860 non-poor students in Guiyang to determine the overall scores of cyberbullying in two groups. The poor students' scores of cyberbullying under different conditions were observed such as gender, student type, ethnicity, only-child family type, relationship with parents, academic performance, students' administrative status, interest in online games, and health self-evaluation. Single factor analysis of the demographic characteristics was made based on the total categorization of cyberbullying as a dependent variable, and the statistically significant variables were used as independent variables. The optimal regression analysis of the factors affecting the poor students' cyberbullying was made too. Results: The three dimensions(cyber-verbal bullying, online hidden identity, and online fraud) and total scores of cyberbullying of Poor college students in Guiyang were higher than those of non-poor students(P<0.05). The three dimensions(cyber-verbal bullying, online hidden identity, and online fraud) and total scores of cyberbullying of boys were higher than girls in the poor students(P<0.01). Except for the hidden identity dimension(P>0.05), students with poor parental relationship and student cadres have higher levels of cyber-verbal bullying, cyber fraud and overalll scores than students with good parental relationships and non-cadre students(P<0.05) while except for the cyber-verbal bullying dimension(P>0.05). The online hidden identity, online fraud, and total scores of the students with poor academic performance were higher than those with better academic performance(P<0.01). Except for the online fraud dimension(P>0.05), the cyber-verbal bullying, online hidden identity and overall scores of the students who played online games were higher than those of the students who did not play online games(P<0.01). The dimension of online hidden identity of the students with poor health self-evaluation was higher than that of the students with good health self-evaluation(P<0.05). the optimal regression analysis showed that gender, relationship with parents, academic performance, and whether student cadres are the influencing factors of cyberbullying. Conclusion: Poverty-stricken students are more prone to cyberbullying than other students, and the influencing factors include students' conditions, school environment and family relationship.

关键词(KeyWords)： 受网络欺凌;贫困学生;影响因素;最优回归分析
cyberbullying;poor students;influencing factors;optimal regression analysis

Abstract:

Keywords:

基金项目(Foundation): 2019年国家级大学生创新创业训练计划项目(201910660033);; 贵州省2019年大学生创新创业训练计划项目(20195200149)

作者(Author): 吴荣,陈再琴,李丹,刘玉,王菁浩,严征
WU Rong,CHEN Zaiqin,LI Dan,LIU Yu,WANG Jinghao,YAN Zheng

DOI: 10.19367/j.cnki.1000-2707.2020.01.011

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