Strategies for analyzing ecological momentary assessment data.
Strategies for analyzing ecological momentary assessment data.
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分析生态瞬时评估数据的策略。
DOI：
10.1037//0278-6133.17.1.6
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
Stone,AA
中科院分区：
文献类型：
--
作者：
Schwartz,JE;Stone,AA
在行为科学和医学科学中，结合对瞬间现象的重复观察的研究变得越来越普遍。分析这些数据需要使用许多调查人员不熟悉的统计技术。一些常见的分析瞬时数据的方法进行了审查聚合策略，重复测量方差分析，合并内人回归，和两阶段估计程序的多层次模型，并发现通常是次优的，可能会导致不正确的推论。然后描述了一个广泛的多层次数据的统计模型，可以解决许多研究问题，通常要求的瞬时数据。值得仔细考虑的分析问题包括瞬时变量的缩放，残差序列自相关的津贴，以及将个体之间的系数作为固定效应与随机效应进行处理。
Studies incorporating repeated observations of momentary phenomena are becoming more common in behavioral and medical science. Analysis of such data requires the use of statistical techniques that are unfamiliar to many investigators. Some common ways of analyzing momentary data are reviewed—aggregation strategies, repeated measures analysis of variance, pooled within-person regression, and two-stage estimation procedures for multilevel models—and are found to be usually suboptimal, possibly leading to incorrect inferences. A broad class of statistical models for multilevel data that can address many research questions typically asked of momentary data are then described. Analytic issues that merit careful consideration include the scaling of momentary variables, allowance for serial autocorrelation of residuals, and the treatment of coefficients that vary across individuals as fixed versus random effects.