协议优化和减少在线研究中学的人数
Halee Staggs1,2,3, Colleen Mills-Finnerty1,2
1Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.
Frontiers in human neuroscience
|December 20, 2023
概括
优化在线研究协议显著改善了社交媒体参与和任务完成. 尼古丁和大麻使用与中断有关,但认知数据质量保持一致,这表明有针对性的支持可能会减少远程研究中的消耗.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 人与计算机的交互
背景情况:
- 在线研究提供了成本效益,可扩展性,和增加的多样性相比面对面的研究.
- 在线研究面临的挑战包括参与者退缩,缺乏环境控制,技术问题和有限的沟通.
- 人类因素在整个电信研究过程中至关重要,从招聘到数据收集.
研究的目的:
- 评估协议优化对社交媒体参与和在线研究中的参与者保留的影响.
- 用决策树模型识别在线研究中导致参与者学的因素.
- 评估远程研究方法的可行性和数据质量.
主要方法:
- 通过Facebook广告招募参与者 (退伍军人和平民) 来进行在线研究.
- 将试点样本 (n=26) 与后优化样本 (n=220) 进行比较,以测量参与和保留的变化.
- 利用C5.0决策树模型根据人口统计和行为数据对参与者学进行分类.
主要成果:
- 协议优化导致广告点击率 (23.8%) 和行为任务完成率 (31.2%) 在统计学上显著增加.
- 尼古丁使用 (100%) 和大麻使用 (25.6%) 被确定为参与者学的主要预测因素.
- 在研究完成者中,物质使用者和非使用者之间,认知表现数据质量是可比的.
结论:
- 优化的在线研究协议可以大大提高参与者的参与度和任务完成率.
- 参与者使用物质 (尼古丁,大麻) 可能表明需要在在线协议中提供量身定制的支持,以减轻学.
- 远程研究是一种可行的方法,但解决人类因素和个体差异的策略对于最大限度地提高数据质量和数据保留至关重要.
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