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Emotion. 2024 Apr;24(3):782-794. doi: 10.1037/emo0001307. Epub 2023 Oct 12.
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Psychol Assess. 2023 Mar;35(3):189-204. doi: 10.1037/pas0001200. Epub 2022 Dec 8.
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评估和解释密集纵向研究中的测量:当前实践、考虑因素和改进途径。

Assessing and accounting for measurement in intensive longitudinal studies: current practices, considerations, and avenues for improvement.

机构信息

Department of Methodology and Statistics, Tilburg University, PO Box 90153, 5000 LE, Tilburg, The Netherlands.

出版信息

Qual Life Res. 2024 Aug;33(8):2107-2118. doi: 10.1007/s11136-024-03678-0. Epub 2024 Jun 13.

DOI:10.1007/s11136-024-03678-0
PMID:38869735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11286633/
Abstract

PURPOSE

Intensive longitudinal studies, in which participants complete questionnaires multiple times a day over an extended period, are increasingly popular in the social sciences in general and quality-of-life research in particular. The intensive longitudinal methods allow for studying the dynamics of constructs (e.g., how much patient-reported outcomes vary across time). These methods promise higher ecological validity and lower recall bias than traditional methods that question participants only once, since the high frequency means that participants complete questionnaires in their everyday lives and do not have to retrospectively report about a large time interval. However, to ensure the validity of the results obtained from analyzing the intensive longitudinal data (ILD), greater awareness and understanding of appropriate measurement practices are needed.

METHOD

We surveyed 42 researchers experienced with ILD regarding their measurement practices and reasons for suboptimal practices.

RESULTS

Results showed that researchers typically do not use measures validated specifically for ILD. Participants assessing the psychometric properties and invariance of measures in their current studies was even less common, as was accounting for these properties when analyzing dynamics. This was mainly because participants did not have the necessary knowledge to conduct these assessments or were unaware of their importance for drawing valid inferences. Open science practices, in contrast, appear reasonably well ingrained in ILD studies.

CONCLUSION

Measurement practices in ILD still need improvement in some key areas; we provide recommendations in order to create a solid foundation for measuring and analyzing psychological constructs.

摘要

目的

密集纵向研究越来越受到社会科学特别是生活质量研究的欢迎,参与者在较长时间内每天多次完成问卷。密集纵向方法可以研究结构的动态变化(例如,患者报告的结果在多大程度上随时间变化)。这些方法比传统方法更具生态有效性和更低的回溯偏差,因为高频率意味着参与者在日常生活中完成问卷,而不必回顾性地报告大的时间间隔。然而,为了确保从分析密集纵向数据(ILD)中获得的结果的有效性,需要更加了解和理解适当的测量实践。

方法

我们调查了 42 名具有密集纵向数据经验的研究人员,了解他们的测量实践和次优实践的原因。

结果

结果表明,研究人员通常不使用专门针对密集纵向数据验证的测量方法。参与者评估当前研究中测量方法的心理计量特性和不变性的情况更为罕见,在分析动态时考虑这些特性的情况也更为罕见。这主要是因为参与者没有必要的知识来进行这些评估,或者不知道这些评估对于得出有效推论的重要性。相比之下,开放科学实践似乎在密集纵向数据研究中得到了很好的应用。

结论

密集纵向数据中的测量实践在一些关键领域仍需要改进;我们提供了一些建议,以便为测量和分析心理结构奠定坚实的基础。