在一个为期12个月的密集长度研究中,负担和不注意的反应:年轻成年人之间的采访研究
Shirlene D Wang1, Lori Hatzinger1, Jeremy Morales1
1Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
JMIR formative research
|August 2, 2024
概括
密集的纵向数据 (ILD) 研究面临着参与者注意力不集中 (IR) 的挑战. 了解社会背景和动机等因素是改善生态瞬间评估 (EMA) 调查数据质量的关键.
科学领域:
- 社会和行为研究社会和行为研究.
- 心理学 心理学 心理学
- 健康行为研究研究健康行为研究.
背景情况:
- 密集的纵向数据 (ILD) 收集对于了解随时间推移的行为有价值.
- 在ILD研究中,参与者的负担会导致不注意的响应 (IR),影响数据质量.
- 之前的研究还没有充分探讨在ILD中IR的基本过程.
研究的目的:
- 在密集的纵向数据 (ILD) 研究中,对不注意响应 (IR) 导致的过程和因素进行定性探索.
- 为未来的研究产生假设,旨在改善长期研究中的数据质量.
主要方法:
- 对31名年轻成年参与者 (18-29岁) 进行了半结构化的定性退出访谈.
- 参与者完成了一项为期12个月的健康行为研究,每天和每小时使用基于智能手机的生态瞬间评估 (EMA) 调查.
- 面试评估了动机,情境影响,响应模式的变化以及对注意力检查问题 (ACQ) 的看法.
主要成果:
- 关于影响参与者参与和数据质量的因素,出现了五个主题.
- 确定了社会影响 (朋友/家人),对速度的渴望,调查的重复性,ACQ的有效性以及参与者的不同动机.
- 中立反应和社会背景对调查容忍度的影响是重要的发现.
结论:
- 在密集的纵向数据 (ILD) 研究中,参与者的感知揭示了影响不注意反应 (IR) 的关键因素.
- 结果表明,通过考虑社会背景,动态动机和注意力检查问题 (ACQ) 的战略使用,改善EMA调查设计.
- 解决这些因素可以提高参与者的参与度,并最大限度地提高长期研究的科学价值.
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