顺序回归的应用,通过行为问题提取社会功能障碍水平
Alka Sabharwal1, Babita Goyal2, Lalit Mohan Joshi3
1Department of Statistics, Kirori Mal College, University of Delhi, Delhi-91-110007, India.
AIMS public health
|October 16, 2023
概括
这项研究探讨了使用优势和困难问卷 (SDQ) 来预测印度大学生心理困境. 像过度活跃和情绪症状这样的行为问题显著预测了痛苦水平,尽管"边界"类别很难估计.
科学领域:
- 心理学 心理学 心理学
- 心理测量 心理测量 心理测量
- 心理健康评估 心理健康评估
背景情况:
- 准确识别心理问题对于干预至关重要.
- 强项和困难问卷 (SDQ) 等问卷是评估行为问题和痛苦的重要工具.
- 社会功能障碍显著影响日常生活,需要可靠的测量方法.
研究的目的:
- 调查通过SDQ影响评分测量的社会功能障碍是否可以从印度大学生中的SDQ行为问题中预测SDQ影响评分.
- 在COVID-19大流行期间分析特定SDQ困难组件和心理痛苦水平之间的关系.
主要方法:
- 在COVID-19大流行期间,对印度困难的大学/大学生进行了两次调查.
- 使用负日志链接函数的顺序回归 (OR) 模型来估计SDQ行为问题的痛苦水平 (正常,边界,异常).
- 使用考克斯和斯内尔,纳格尔克克和麦克法登测试来评估模型的合适性.
主要成果:
- 在第一个调查中,过度活动-注意力和情绪症状是痛苦的重要预测因素.
- 在第二次调查中,同龄人问题成为一个重要的预测因素,与过度活动-注意力缺失和情绪症状一起.
- 顺序回归模型有效地估计了"正常"和"异常"的危险类别,但在准确估计"边界"类别时显示了局限性.
结论:
- SDQ行为问题,特别是过度活动-注意力不集中,情绪症状和同行问题,对于估计大学生心理困境水平有价值.
- 这项研究强调了SDQ对大规模心理健康查的有用性,但指出了精确分类边界痛苦的挑战.
- 可能需要进一步的研究来完善模型,以便使用复杂的SDQ数据更好地估计边界危险类别.
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