McNeish Daniel, Bauer Daniel J, Dumas Denis, Clements Douglas H, Cohen Jessica R, Lin Weili, Sarama Julie, Sheridan Margaret A
Department of Psychology, Arizona State University.
Department of Psychology and Neuroscience, University of North Carolina.
Psychol Methods. 2023 Apr;28(2):401-421. doi: 10.1037/met0000407. Epub 2021 Sep 27.
Individual differences in the timing of developmental processes are often of interest in longitudinal studies, yet common statistical approaches to modeling change cannot directly estimate the timing of when change occurs. The time-to-criterion framework was recently developed to incorporate the timing of a prespecified criterion value; however, this framework has difficulty accommodating contexts where the criterion value differs across people or when the criterion value is not known a priori, such as when the interest is in individual differences in when change starts or stops. This article combines aspects of reparameterized quadratic models and multiphase models to provide information on the timing of change. We first consider the more common situation of modeling decelerating change to an offset point, defined as the point in time at which change ceases. For increasing trajectories, the offset occurs when the criterion attains its maximum ("inverted J-shaped" trajectories). For decreasing trajectories, offset instead occurs at the minimum. Our model allows for individual differences in both the timing of offset and ultimate level of the outcome. The same model, reparameterized slightly, captures accelerating change from a point of onset ("J-shaped" trajectories). We then extend the framework to accommodate "S-shaped" curves where both the onset and offset of change are within the observation window. We provide demonstrations that span neuroscience, educational psychology, developmental psychology, and cognitive science, illustrating the applicability of the modeling framework to a variety of research questions about individual differences in the timing of change. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
在纵向研究中,发育过程时间安排上的个体差异常常备受关注,然而,用于建模变化的常见统计方法无法直接估计变化发生的时间。最近开发的达标时间框架旨在纳入预先指定的标准值的时间;然而,该框架难以适应标准值因人而异的情况,或者标准值并非先验已知的情况,比如当研究兴趣在于变化开始或停止时间的个体差异时。本文结合了重新参数化二次模型和多阶段模型的各方面内容,以提供有关变化时间的信息。我们首先考虑更常见的情况,即对减速变化至一个偏移点进行建模,该偏移点定义为变化停止的时间点。对于上升轨迹,当标准达到其最大值时出现偏移(“倒J形”轨迹)。对于下降轨迹,偏移则出现在最小值处。我们的模型允许在偏移时间和结果的最终水平方面存在个体差异。同一模型稍作重新参数化,就能捕捉从起始点开始的加速变化(“J形”轨迹)。然后,我们扩展该框架以适应“ S形”曲线,其中变化的起始点和偏移点均在观察窗口内。我们提供了涵盖神经科学、教育心理学、发展心理学和认知科学的示例,说明了该建模框架对于各种关于变化时间个体差异研究问题的适用性。(PsycInfo数据库记录(c)2023美国心理学会,保留所有权利)