对高等教育阶段感知到的网络欺凌受害者进行聚类分析。

IF 1.1 4区 医学 Q3 CRIMINOLOGY & PENOLOGY Violence and Victims Pub Date : 2024-09-12 DOI:10.1891/vv-2024-0098
Antonio Cervero,Ana B Bernardo,Alexandra Araújo,Ellian Tuero
{"title":"对高等教育阶段感知到的网络欺凌受害者进行聚类分析。","authors":"Antonio Cervero,Ana B Bernardo,Alexandra Araújo,Ellian Tuero","doi":"10.1891/vv-2024-0098","DOIUrl":null,"url":null,"abstract":"A number of studies have demonstrated the prevalence of cyberbullying in university settings. The objective of this research is to conduct a cluster analysis to categorize victims according to the nature of the behavior they have received and to examine the relationship between gender and intention to drop out. To this end, the Online Victimization Questionnaire was administered to a sample of 800 first-year students at a university in northern Spain who had opted to participate in the study. All analyses were conducted using the SPSS statistical software, version 27.0. Results indicate the presence of four clusters: Cluster 4 (73.625%) exhibited no instances of cyberbullying behaviors. Cluster 1 (21.875%), which exhibited low scores across all cyberbullying behaviors except identity manipulation, was the most prevalent. Cluster 2 (3.125%) demonstrated high scores for public aggression and social isolation. Finally, Cluster 3 (1.375%) exhibited high scores for all cyberbullying behaviors. Furthermore, gender differences play a significant role in the formation of these clusters. It is therefore evident that there are various profiles of cyberbullying victims, which both public policies and educational programs should be aware of in order to adapt their prevention strategies. This is also a factor that affects university dropout prevention programs.","PeriodicalId":48139,"journal":{"name":"Violence and Victims","volume":"41 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cluster Analysis in Victims of Perceived Cyberbullying at the Higher Education Level.\",\"authors\":\"Antonio Cervero,Ana B Bernardo,Alexandra Araújo,Ellian Tuero\",\"doi\":\"10.1891/vv-2024-0098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A number of studies have demonstrated the prevalence of cyberbullying in university settings. The objective of this research is to conduct a cluster analysis to categorize victims according to the nature of the behavior they have received and to examine the relationship between gender and intention to drop out. To this end, the Online Victimization Questionnaire was administered to a sample of 800 first-year students at a university in northern Spain who had opted to participate in the study. All analyses were conducted using the SPSS statistical software, version 27.0. Results indicate the presence of four clusters: Cluster 4 (73.625%) exhibited no instances of cyberbullying behaviors. Cluster 1 (21.875%), which exhibited low scores across all cyberbullying behaviors except identity manipulation, was the most prevalent. Cluster 2 (3.125%) demonstrated high scores for public aggression and social isolation. Finally, Cluster 3 (1.375%) exhibited high scores for all cyberbullying behaviors. Furthermore, gender differences play a significant role in the formation of these clusters. It is therefore evident that there are various profiles of cyberbullying victims, which both public policies and educational programs should be aware of in order to adapt their prevention strategies. This is also a factor that affects university dropout prevention programs.\",\"PeriodicalId\":48139,\"journal\":{\"name\":\"Violence and Victims\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Violence and Victims\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1891/vv-2024-0098\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CRIMINOLOGY & PENOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Violence and Victims","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1891/vv-2024-0098","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

多项研究表明,网络欺凌在大学环境中十分普遍。本研究旨在进行聚类分析,根据受害者所受行为的性质对其进行分类,并研究性别与退学意向之间的关系。为此,我们对西班牙北部一所大学的 800 名选择参与研究的一年级学生进行了在线受害者问卷调查。所有分析均使用 27.0 版 SPSS 统计软件进行。结果显示存在四个群组:第 4 组(73.625%)没有网络欺凌行为。第 1 组(21.875%)在除身份操纵外的所有网络欺凌行为中得分较低,是最普遍的一组。第 2 组(3.125%)在公开攻击和社会孤立方面得分较高。最后,群组 3(1.375%)在所有网络欺凌行为中都表现出高分。此外,性别差异在这些群组的形成中发挥了重要作用。由此可见,网络欺凌受害者有不同的特征,公共政策和教育计划都应了解这些特征,以调整其预防策略。这也是影响大学辍学预防计划的一个因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Cluster Analysis in Victims of Perceived Cyberbullying at the Higher Education Level.
A number of studies have demonstrated the prevalence of cyberbullying in university settings. The objective of this research is to conduct a cluster analysis to categorize victims according to the nature of the behavior they have received and to examine the relationship between gender and intention to drop out. To this end, the Online Victimization Questionnaire was administered to a sample of 800 first-year students at a university in northern Spain who had opted to participate in the study. All analyses were conducted using the SPSS statistical software, version 27.0. Results indicate the presence of four clusters: Cluster 4 (73.625%) exhibited no instances of cyberbullying behaviors. Cluster 1 (21.875%), which exhibited low scores across all cyberbullying behaviors except identity manipulation, was the most prevalent. Cluster 2 (3.125%) demonstrated high scores for public aggression and social isolation. Finally, Cluster 3 (1.375%) exhibited high scores for all cyberbullying behaviors. Furthermore, gender differences play a significant role in the formation of these clusters. It is therefore evident that there are various profiles of cyberbullying victims, which both public policies and educational programs should be aware of in order to adapt their prevention strategies. This is also a factor that affects university dropout prevention programs.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Violence and Victims
Violence and Victims CRIMINOLOGY & PENOLOGY-
CiteScore
1.70
自引率
0.00%
发文量
61
期刊介绍: We all face the difficult problem of understanding and treating the perpetrators and victims of violence behavior. Violence and Victims is the evidence-based resource that informs clinical decisions, legal actions, and public policy. Now celebrating its 25th year, Violence and Victims is a peer-reviewed journal of theory, research, policy, and clinical practice in the area of interpersonal violence and victimization. It seeks to facilitate the exchange of information on this subject across such professional disciplines as psychology, sociology, criminology, law, medicine, nursing, psychiatry, and social work.
期刊最新文献
Animals as Covictims and More-Than-Property: The Inclusion of Companion Animals in Protection Order Statutes at the State Level in the United States. Can Witnessing Domestic Violence Predict Risky Health Behaviors of University Students? Mass-Shooting Survivors: Advancing Research and Practice. Working With Youth Who Have Experienced Commercial Sexual Exploitation: Voices From the Field. Religious Coping Styles Used by Young Black Women Who Experience DatingViolence.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1