在破坏模型之前检查你的数据:不小心响应对物质使用数据质量的影响
Abby L Braitman1, Anna M Petrey2, Jennifer L Shipley1
1Old Dominion University, Norfolk, Virginia, USA.
Alcohol, clinical & experimental research
|March 17, 2025
概括
在大学生中不小心调查的响应因人口统计学而异,并影响数据质量. 留住一个注意力检查问题失败的参与者可以保持样本多样性,同时对结果的影响最小.
科学领域:
- 心理学 心理学 心理学
- 数据科学数据科学数据科学
- 高等教育研究 高等教育研究
背景情况:
- 调查答案的准确性对于研究数据的质量至关重要,特别是在大学生样本中.
- 删除不小心响应的参与者可能会导致有价值的信息或样本多样性的损失.
- 了解影响疏忽反应的因素对于强大的数据收集至关重要.
研究的目的:
- 调查大学生对人口统计指数和物质使用行为的不小心反应的变化.
- 检查调查完成时间对不小心响应的影响.
- 评估不小心的反应如何影响验证的物质使用指标的数据质量.
主要方法:
- 在线调查对来自六所大学的5809名大学生进行.
- 在一个小时的调查中包含四个注意力检查问题.
- 对人口群体的不小心反应的分析及其对饮酒动机调查问卷修订的简单表格的影响.
主要成果:
- 不小心的反应因种族,性别,性别,性取向和社会经济地位而有显著差异.
- 药物使用在很大程度上与不小心的反应无关,除了与更多与酒精有关的问题的联系.
- 当调查在学期末完成时,不小心回应更为常见,这影响了饮酒动机测量的因子结构.
结论:
- 注意力检查问题有效地识别了调查中不小心回答的人.
- 将所有参与者排除在外,任何不小心的反应都可能导致样本人口统计学偏见.
- 建议包括在本科生物质使用调查中保留仅一次注意力检查失败的参与者,以平衡数据质量和样本多样性.
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