Presents a useful guide for applications of SEM whilst systematically demonstrating various
SEM models using Mplus Focusing on the conceptual and practical aspects of Structural …

Clustering methods are increasingly being applied to residential smart meter data, which
provides a number of important opportunities for distribution network operators (DNOs) to …

The aim of the study was to explore the relationships among cyberchondria, fear of COVID-
19, health anxiety, obsessions, sleep quality, and negative affect in a national community …

ABSTRACT A first application of multilevel latent class analysis (MLCA) to educational large-
scale assessment data is demonstrated. This statistical technique addresses several of the …

The present study aims to investigate what factors determine students' engagement in
mathematics. We examined the predictive relationships between interest, effort cost (ie, the …

This paper is developed around two major arguments. First, the European Country Specific
Industrial Structures (CSIS) technology gap defined in a metafrontier framework, captures …

The family is a crucial ecological system that shapes adolescent risk behaviors in many
ways. However, existing studies have mostly focused on how selective family variables are …

The aim of this study was to contribute to knowledge about classroom assessment by
identifying profiles of teachers' assessment of their students' understanding of mathematics …

This study examines variations in the combination of social roles in early adulthood and their
association with mental health, subjective wellbeing, and alcohol use in two nationally …

The use of longitudinal finite mixture models such as group-based trajectory modeling has
seen a sharp increase during the last few decades in the medical literature. However, these …