密集的,反复的自我报告措施:我们应该担心随着时间的推移数据质量的变化吗?
Arthur A Stone1, Stefan Schneider1, Meynard J Toledo1
1Department of Psychology, University of Southern California, Los Angeles, CA, United States.
JMIR mHealth and uHealth
|January 14, 2026
概括
对行为和医学研究至关重要的重复自我报告措施,由于评估长度和参与者的反应性等因素,随着时间的推移,其质量可能会下降. 研究人员必须监测这些变化,以确保数据的准确性.
科学领域:
- 行为科学 行为科学
- 医学研究 医学研究
- 移动健康服务提供者
背景情况:
- 密集的,反复的自我报告措施对于在细微层面上理解动态变量至关重要.
- 移动健康应用程序依赖于准确的,即时的状态和环境评估进行干预.
- 重复的瞬间评估将回忆偏差降到最低,并捕获真实世界的数据,提供对人与环境相互作用的见解.
研究的目的:
- 调查如何重复完成瞬间评估可能随着时间的推移改变数据质量.
- 识别可以在重复测量中诱导非不变的现象.
- 提醒研究人员注意可能影响数据质量的变化.
主要方法:
- 检查了可能改变数据特征的重复瞬间评估的特征.
- 讨论了质疑评估完成时不变性假设的调查线.
- 提出了四种可能诱导非不变的现象:完成时间,缺失数据速率,不小心响应和反应性.
主要成果:
- 有证据表明,随着时间的推移,个体如何完成重复评估的情况可能会发生变化.
- 四个关键现象 (时间,缺失的数据,不小心的响应,反应性) 被确定为非不变的潜在来源.
- 这些变化可能会影响收集数据的整体质量和可靠性.
结论:
- 在重复测量完成时的不变性假设可能不成立.
- 研究人员必须意识到,由于各种因素,数据质量随着时间的推移而变化.
- 监测和解决这些变化对于保持行为和医学研究中的数据完整性至关重要.
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