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Multilevel models for examining individual differences in within-person variation and covariation over time

机译:用于检查人际内随时间变化和协变量的个体差异的多级模型

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摘要

Heterogeneity of variance may be more than a statistical nuisance-it may be of direct interest as a result of individual differences. In studies of short-term fluctuation, individual differences may relate to the magnitude of within-person variation as well as to level of an outcome or its covariation with other processes. Although models for heterogeneous variances have been utilized in group contexts (i.e., dispersion models), they are not usually applied in examinations of intraindividual variation. This work illustrates how an extension of the multilevel model for heterogeneous variances can be used to examine individual differences in level, between- and within-person covariation, and magnitude of within-person variation of daily positive and negative mood in persons with dementia.
机译:方差的异质性可能不仅仅是统计上的麻烦-由于个体差异而可能引起直接关注。在短期波动研究中,个体差异可能与人际差异的大小以及结果水平或与其他过程的协变有关。尽管异质方差模型已在群体环境中使用(即离散模型),但通常不用于检验个体内变化。这项工作说明了如何使用异质方差的多层次模型的扩展来检查痴呆症患者水平,人与人之间和人与人之间的协方差以及人的日常正负情绪的人与人之间的变化幅度的个体差异。

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