Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2021-07-06 , DOI: 10.1080/10705511.2021.1937177 N. K. Schuurman 1 , Y. Zheng 2 , C. V. Dolan 3
ABSTRACT
Recent developments in the collection and modeling of intensive longitudinal data have enabled us to fit dynamic twin models, in which within-person processes are separated into genetic and environmental components. A well-known dynamic twin model is the genetic simplex model, which is fitted to a few repeated measures for many twins. A more recently developed model is the iFACE model, which is fitted to many repeated measures for a single pair of twins. In this paper, we introduce a missing link between these two models – a multilevel extension that allows for making both population-level and twin-level inferences. We provide a proof-of-principle simulation study for this model, and apply it to an experience sampling data set on 148 monozygotic and 88 dizygotic twins. We use the multilevel model to examine the overlap and differences between the dynamic genetic twin models and the classic twin models, as well as their interpretation.
中文翻译:
多级动态孪生建模
摘要
密集纵向数据的收集和建模的最新发展使我们能够拟合动态双胞胎模型,其中人体内的过程被分为遗传和环境成分。一个著名的动态双胞胎模型是遗传单纯形模型,它适用于许多双胞胎的一些重复测量。最近开发的模型是 iFACE 模型,它适用于一对双胞胎的许多重复测量。在本文中,我们介绍了这两个模型之间缺失的一个环节——一个多级扩展,允许进行总体级和双级推理。我们为此模型提供了原理验证模拟研究,并将其应用于 148 对同卵双胞胎和 88 对双卵双胞胎的经验抽样数据集。