Latent growth models make up a class of methods to study within-person change—how it
progresses, how it differs across individuals, what are its determinants, and what are its …

European media landscapes have changed into high-choice environments. Additionally,
research suggests an increasing number of people are staying away from the news (news …

Piecewise latent growth models (LGMs) for linear-linear processes have been well-
documented and studied in recent years. However, in the latent growth modeling literature …

Longitudinal research often involves relatively small samples and missing values. Under
these conditions, Bayesian estimation can still result in accurate parameter estimates for …

Multilevel structural equation models (MSEM) are typically evaluated on the basis of
goodness of fit indices. A problem with these indices is that they pertain to the entire model …

Latent growth curve models are widely used in the social and behavioral sciences to study
complex developmental patterns of change over time. The trajectories of these …

Following the onset of the novel coronavirus disease 2019 (COVID-19) pandemic, daily life
significantly changed for the population. Accordingly, researchers interested in examining …

The analysis of longitudinal data has received widespread interest in the behavioral,
educational, medical, and social sciences for many years. Many modeling techniques have …

In longitudinal research, the development of some outcome variable (s) over time (or age) is
studied. Such relations are not necessarily smooth, and piecewise growth models may be …

Speech allows humans to communicate and to navigate the social world. By 12 months,
infants recognize that speech elicits appropriate responses from others. However, it is …