通过数据挖掘提高心理健康评估:来自泰国的案例研究
Asamaporn Treearpornwong1, Thiyaporn Kantathanawat1, Mai Charoentham1
1School of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok 10520, Thailand.
概括
这项研究确定了影响曼谷青少年心理健康 (PWB) 的关键因素,发现个人成长,积极的关系和生活目标是最有预测力的. 一个新的,文化适应的PWB问卷被验证用于学生.
科学领域:
- 教育心理学教育心理学
- 数据挖掘应用程序 数据挖掘应用程序
- 青少年心理健康 青少年心理健康
背景情况:
- 心理健康 (PWB) 对青少年的发展至关重要.
- 现有的PWB评估在不同的教育环境中可能缺乏文化相关性.
- 了解影响初中学生PWB的因素对于有针对性的干预措施至关重要.
研究的目的:
- 为了检查曼谷初中学生的心理健康 (PWB).
- 使用数据挖掘技术识别影响PWB的关键因素.
- 开发和验证适合泰国文化背景的PWB问卷.
主要方法:
- 利用数据挖掘技术,特别是在怀卡托知识分析环境 (WEKA) 计划中的基于规则的JRip分类模型.
- 在2023学年期间,收集了曼谷SESAO 1和2的2543名初中学生的数据.
- 评估PWB基于六个组成部分:自主,环境掌握,个人成长,积极的关系,生活目标和自我接受.
主要成果:
- 个人成长成为PWB分类表现最重要的预测因素.
- 积极的关系和生活目标也被确定为关键影响因素.
- 新开发的PWB问卷显示了高可靠性和性能指标 (准确率:90.18%,精度:69.00%,回忆率:90.90%,F-测量:78.40%) 使用80:20分.
结论:
- 数据挖掘有效地识别了在泰国背景下影响青少年PWB的关键因素.
- 经过验证,文化相关的PWB问卷为教育工作者和研究人员提供了有价值的评估工具.
- 调查结果为政策制定者和教育工作者提供了可操作的见解,以提高学生的心理福祉.
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