Dowling N Maritza, Raykov Tenko, Marcoulides George A
George Washington University, Washington, DC, USA.
Michigan State University, East Lansing, MI, USA.
Educ Psychol Meas. 2019 Jun;79(3):598-609. doi: 10.1177/0013164418758834. Epub 2018 Feb 23.
Longitudinal studies have steadily grown in popularity across the educational and behavioral sciences, particularly with the increased availability of technological devices that allow the easy collection of repeated measures on multiple dimensions of substantive relevance. This article discusses a procedure that can be used to evaluate population differences in within-person (intraindividual) variability in such longitudinal investigations. The method is based on an application of the latent variable modeling methodology within a two-level modeling framework. The approach is used to obtain point and interval estimates of the differences in within-person variance and in the strength of correlative effects of repeated measures between normal and very mildly demented persons in a longitudinal study of a diagnostic cognitive test assessing verbal episodic memory.
纵向研究在教育和行为科学领域越来越受欢迎,尤其是随着技术设备的日益普及,这些设备使得在多个具有实质相关性的维度上轻松收集重复测量数据变得更加容易。本文讨论了一种可用于评估此类纵向研究中个体内部(个体内)变异性的总体差异的程序。该方法基于在两级建模框架内应用潜变量建模方法。在一项评估言语情景记忆的诊断性认知测试的纵向研究中,该方法用于获得正常人和非常轻度痴呆患者在个体内方差差异以及重复测量相关效应强度方面的点估计和区间估计。