Using Derivative Estimates to Describe Intraindividual Variability at Multiple Time Scales
Using Derivative Estimates to Describe Intraindividual Variability at Multiple Time Scales
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DOI：
10.1037/a0016622
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发表时间：
2009-12-01
影响因子：
7
通讯作者：
Boker, Steven M.
中科院分区：
文献类型：
--
作者：
Deboeck, Pascal R.;Montpetit, Mignon A.;Boker, Steven M.
个体内变异性的研究是心理学中个体研究的核心。先前的研究已经将个体重复测量（时间序列）中观察到的方差与逻辑相关的traitlike测量相关。个体内测量，如个体内标准差或变异系数，可能是个体内变异的不完整表示。这篇文章表明，研究个体内的变异性，可以通过检查在特定的时间尺度上的利益，而不是考虑整个时间序列的变异性更富有成效。此外，观察到的分数的方差检查可能是不够的，因为这些忽略了观察之间的时间尺度依赖关系。目前的文章概述了一种方法，使用估计的衍生工具，通过估计方差和其他分布特性在多个时间尺度上检查个体内变异。在这样做的时候，本文鼓励对个体内变异性进行更细致的讨论，并强调变异性和方差是不等价的。一个例子与模拟数据和一个例子有关的变化，在日常措施的负面影响神经质。
The study of intraindividual variability is central to the study of individuals in psychology. Previous research has related the variance observed in repeated measurements (time series) of individuals to traitlike measures that are logically related. Intraindividual measures, such as intraindividual standard deviation or the coefficient of variation, are likely to be incomplete representations of intraindividual variability. This article shows that the study of intraindividual variability can be made more productive by examining variability of interest at specific time scales, rather than considering the variability of entire time series. Furthermore, examination of variance in observed scores may not be sufficient, because these neglect the time scale dependent relationships between observations. The current article outlines a method of using estimated derivatives to examine intraindividual variability through estimates of the variance and other distributional properties at multiple time scales. In doing so, this article encourages more nuanced discussion about intraindividual variability and highlights that variability and variance are not equivalent. An example with simulated data and an example relating variability in daily measures of negative affect to neuroticism are provided.