Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and
statistical inference. There has been a recent upsurge in the application of latent class …

This study examines academic teachers' agency and emergency responses, prompted by
the physical closure of universities and university colleges due to the COVID-19 crisis. The …

Objectives In light of the youth mental health crisis, as 1 in 5 children have a mental disorder
diagnosis by age 3, identification of transdiagnostic behavioral vulnerability prior to …

Considerable evidence indicates that students' academic motivation and engagement
generally decline as they move through middle school and on to high school. This study …

Background Fluid intelligence (G f) is a critical cognitive ability that is predictive of real-world
outcomes, and it has been a persistent aim to characterize its neural architecture. Procedure …

This paper investigates whether people value the environmental goods created as a result
of the human-nature interaction. Using the novel face-to-face survey data collected in …

The current study adopted a person-centered approach to identify distinctive university
students' profiles based on three variables (ie, three academic motivations, grit, and self …

Latent class analysis (LCA) refers to techniques for identifying groups in data based on a
parametric model. Examples include mixture models, LCA with ordinal indicators, and latent …

There is increasing interest in examining the development of frontal EEG power in relation to
self-regulation in early childhood. However, the majority of previous studies solely focuses …

Background An assumption in many analyses of longitudinal patient-reported outcome
(PRO) data is that there is a single population following a single health trajectory. One …