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同行评价作为衡量有害互联网使用的方法.

W W Koczkodaj1, A Kowalczyk2, M Mazurek3

  • 1Computer Science, Laurentian University, Sudbury, ON P3E 2C6 Canada.

MethodsX
|July 7, 2023
PubMed
概括

本研究引入了一种新的同行评估方法,以更准确地测量有害互联网使用 (HIU). 这种方法显著提高了识别HIU的真实阳性率,为互联网使用评估提供了潜在的范式转变.

关键词:
不同进化的差异进化.有害的互联网使用 (HIU)测量方法 测量方法在PA4HIU的措施.路径分析 路径分析同行评价是对同行进行的评价.评级级别的评级规模.结构方程模型的结构方程模型.

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科学领域:

  • 心理学 心理学 心理学
  • 互联网研究 互联网研究
  • 社会学 社会学 社会学

背景情况:

  • 有害的互联网使用 (HIU) 是一个日益关注的问题,包括自我伤害和伤害他人.
  • 目前评估HIU的方法可能缺乏准确性和全面性.
  • 需要创新的方法来量化有问题的互联网参与.

研究的目的:

  • 开发和验证一种用于测量有害互联网使用 (HIU) 的新型同行评价方法.
  • 将同行评估的准确性与现有的HIU检测方法进行比较.
  • 通过结构方程建模,探索家长照顾对缓解HIU的影响.

主要方法:

  • 实施一种新的同行评价策略,用于评估HIU.
  • 应用经典的统计分析和结构方程建模 (SEM).
  • 对接收器操作特征 (ROC) 曲线的曲线下面面积 (AUC) 的计算,以确定尺度切线点.

主要成果:

  • 与之前的研究相比,同行评估方法在检测HIU方面显示出实质上更高的真实阳性率 (TPR).
  • 结构方程模型的结果表明,家长的照顾对个人打击HIU的努力有适度的影响.
  • 该研究提供了使用ROC分析评估规模的验证截止点.

结论:

  • 同行评价提供了一个有希望的,更准确的方法来衡量HIU.
  • 父母的照顾是个人抵抗HIU的能力的一个重要因素,尽管中度.
  • 建议进行进一步的研究,以将这种同行评估范式纳入更广泛的互联网使用评估中.