密集追踪调查中不认真作答的识别和处理
Identification and handling of careless responding in intensive longitudinal studies
摘要
近年来，密集追踪调查在心理学研究中应用广泛，为研究者捕捉个体内部心理状态的变化，并揭示心理过程随时间发展的动态规律提供了有益工具。然而，其高频、多次测量的特点会加重被试负担，易导致被试不认真作答（careless responding, CR），进而威胁数据质量和研究结论的可靠性。本研究聚焦密集追踪调查中的CR问题，探究CR对数据分析结果和结论的影响，探索如何利用机器学习技术与作答行为日志数据相结合的方式精准识别CR，设计并对比多种处理CR的策略，并在此基础上开发用户友好的识别和处理CR的工具，以方便研究者高效清理密集追踪调查数据。
Abstract
Intensive longitudinal studies have become increasingly popular in psychological research because they allow researchers to capture within-person variability and examine the temporal dynamics of psychological processes. However, the intensive nature of repeated assessments may place additional burden on participants and increase the likelihood of careless responding (CR), potentially compromising data quality and biasing research findings. This study focuses on CR in intensive longitudinal studies. First, it will examine the influence of CR on data analysis and statistical inference. Second, it will develop effective approaches for identifying CR by integrating machine learning techniques with behavioral log data recorded during the response process. Third, it will further develop and evaluate strategies for handling CR. Finally, it will develop a user-friendly tool for CR detection and handling to facilitate data screening and preprocessing in intensive longitudinal studies.关键词
密集追踪/作答质量/不认真作答/不努力作答/数据清理Key words
intensive longitudinal study/data quality/careless responding/insufficient effort responding/data preprocessing引用本文复制引用
李辉,刘红云.密集追踪调查中不认真作答的识别和处理[EB/OL].(2026-09-29)[2026-10-03].https://chinaxiv.org/abs/202610.00005.学科分类
科学、科学研究
