提高基于人口的调查的代表性,以提高数据质量和决策
Stefano Rousset1, Lorena Charrier2, Michela Bersia3
1Department of Public Health and Pediatrics, Post Graduate School of Medical Statistics, University of Turin & CPO Piemonte, Turin, Italy.
Scientific reports
|August 27, 2025
概括
校准加权提高了学生心理健康的在线调查数据的代表性,即使响应率很低. 这种方法可确保对抑郁症状的普遍性和自杀行为风险的可靠估计.
科学领域:
- 精神病学与心理健康
- 生物统计学
- 调查方法
背景情况:
- 在线调查的响应率很低,可能会影响数据的代表性和有效性.
- 评估大学群体的心理健康和福祉对于有针对性的干预至关重要.
- 在线调查的低响应率可能导致偏见的估计,特别是在心理健康等敏感领域.
研究的目的:
- 评估校准权重对在线调查数据代表性的影响.
- 通过低响应率的在线调查评估心理健康和福祉结果的有效性.
- 确定校准权重是否可以提高抑郁症状,自杀行为风险和焦虑症状的流行率估计的准确性.
主要方法:
- 在大学生中进行了一项关于心理健康和幸福感的横截面在线调查.
- 使用法对调查数据 (n=5,284) 进行校准加权,并使用辅助变量 (性别,课程面积,课程周期).
- 对比了未加权和加权的抑郁症状,自杀行为风险,焦虑症状和整体幸福感.
主要成果:
- 抑郁症状的未加权和加权流行率估计高度一致 (46. 9%对46. 6%).
- 对自杀行为风险的估计也显示了未加权和加权数据之间的密切一致 (34.4%对34.9%).
- 在焦虑症状方面观察到轻微的差异 (72. 2% vs 69. 6%),而幸福度则保持相似.
结论:
- 尽管参与率低,但可以从大规模的在线大学调查中获得可靠的心理健康估计,特别是在使用校准权重时.
- 校准权重似乎有效地提高了在线调查数据对心理健康结果的代表性.
- 建议进行进一步的研究,以验证不同群体,结果和调查设计中的校准方法.
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