Longitudinal Structural Equation Modeling is a comprehensive resource that reviews
structural equation modeling (SEM) strategies for longitudinal data to help readers …

Abstract In Hubei, China, where the coronavirus disease (COVID-19) epidemic first
emerged, the government has enforced strict quarantine and lockdown measures …

Clustering of longitudinal data is becoming increasingly popular in many fields such as
social sciences, business, environmental science, medicine and healthcare. However, it is …

Abstract Background Adverse childhood experiences (ACEs) elevate the risk of poor health
later in life. Objective This study aims to provide a more comprehensive investigation of the …

Background With the increase in the aging population worldwide, cognitive decline has
become an important research topic. The purpose of this study is to examine the cognitive …

Objectives The acceleration of population aging has brought a lot of attention to the disability
among older populations, but existing results about the development patterns of disability …

A social network comprises both actors and the social connections among them. Such
connections reflect the dependence among social actors, which is essential for individuals' …

Growth mixture models (GMMs) are a popular method to identify latent classes of growth
trajectories. One shortcoming of GMMs is nonconvergence, which often leads researchers to …

Heterogeneity in the course of posttraumatic stress symptoms (PTSS) following a major life
trauma such as childhood sexual abuse (CSA) can be attributed to numerous contextual …

Mixture models can be used for explanation or individual prediction and classification. In
practice, researchers are often tempted to make the class membership manifest by …