The use of finite mixture modelling (FMM) is becoming increasingly popular for the analysis
of longitudinal repeated measures data. FMMs assist in identifying latent classes following …

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

Structural equation modeling (SEM) is a very general and flexible multivariate technique that
allows relationships among variables to be examined. The roots of SEM are in the social …

Latent profile analysis (LPA) identifies heterogeneous subgroups based on continuous
indicators that represent different dimensions. It is a common practice to measure each …

Background Postpartum depression has a prevalence rate of up to 17%. As there are many
negative consequences of postpartum depressive symptoms, it is important to examine …

Invariance of the measurement model (MM) between subjects and within subjects over time
is a prerequisite for drawing valid inferences when studying dynamics of psychological …

Research on the development of calling is still in its infancy and rarely focused on how
calling changes during a major career transition. The current study examined the …

Objective To assess the association between trajectories of comorbid anxiety and
depressive (CAD) symptoms assessed in each pregnancy trimester and physiological birth …

Objective To demonstrate the application of second-order growth mixture modeling (SO-
GMM) using life satisfaction among adolescents and young adults with traumatic brain injury …

Applications of mixture models are prevalent in studying psychopathology across
development, particularly for identifying typical co-occurring symptom presentations (or …