...
首页> 外文期刊>Aggressive behavior: A multidisciplinary journal devoted to the experimental and observational analysis of conflict in humans and animals >Modeling the anti-cyberbullying preferences of university students: Adaptive choice-based conjoint analysis
【24h】

Modeling the anti-cyberbullying preferences of university students: Adaptive choice-based conjoint analysis

机译:大学生反网络偏好建模:基于自适应选择的联合分析

获取原文
获取原文并翻译 | 示例

摘要

Adaptive choice-based conjoint analysis was used to study the anti-cyberbullying program preferences of 1,004 university students. More than 60% reported involvement in cyberbullying as witnesses (45.7%), victims (5.7%), perpetrator-victims (4.9%), or perpetrators (4.5%). Men were more likely to report involvement as perpetrators and perpetrator-victims than were women. Students recommended advertisements featuring famous people who emphasized the impact of cyberbullying on victims. They preferred a comprehensive approach teaching skills to prevent cyberbullying, encouraging students to report incidents, enabling anonymous online reporting, and terminating the internet privileges of students involved as perpetrators. Those who cyberbully were least likely, and victims of cyberbullying were most likely, to support an approach combining prevention and consequences. Simulations introducing mandatory reporting, suspensions, or police charges predicted a substantial reduction in the support of uninvolved students, witnesses, victims, and perpetrators. Aggr. Behav. 41:369-385, 2015. (c) 2014 Wiley Periodicals, Inc.
机译:基于自适应选择的联合分析用于研究1,004名大学生的反网络程序偏好。超过60%的人报告以证人(45.7%),受害者(5.7%),犯罪者-受害者(4.9%)或犯罪者(4.5%)的身份参与网络欺凌。与妇女相比,男性更有可能报告作为犯罪者和犯罪者受害者参与其中。学生们推荐以名人着称的广告,这些人强调网络欺凌对受害者的影响。他们更喜欢全面的教学方法,以防止网络欺凌,鼓励学生举报事件,启用匿名在线举报以及终止作为犯罪者的学生的互联网特权。网络欺凌的可能性最小,而网络欺凌的受害者则更有可能支持将预防和后果结合在一起的方法。引入强制性报告,停职或警察指控的模拟预测将大大减少对不参与的学生,证人,受害者和犯罪者的支持。 Aggr。行为。 41:369-385,2015.(c)2014威利期刊公司

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号