In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …

The question of how learners' motivation influences their academic achievement and vice
versa has been the subject of intensive research due to its theoretical relevance and …

This article aims to improve theory formation in psychology by developing a practical
methodology for constructing explanatory theories: theory construction methodology (TCM) …

The applied social science literature using factor and network models continues to grow
rapidly. Most work reads like an exercise in model fitting, and falls short of theory building …

Objective: The present paper presents a brief overview on network analysis as a statistical
approach for health psychology researchers. Networks comprise graphical representations …

Network approaches to psychometric constructs, in which constructs are modeled in terms of
interactions between their constituent factors, have rapidly gained popularity in psychology …

The usage of psychological networks that conceptualize behavior as a complex interplay of
psychological and other components has gained increasing popularity in various research …

We discuss the Gaussian graphical model (GGM; an undirected network of partial
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …

The estimation of the correct number of dimensions is a long-standing problem in
psychometrics. Several methods have been proposed, such as parallel analysis (PA), Kaiser …

We introduce the network model as a formal psychometric model, conceptualizing the
covariance between psychometric indicators as resulting from pairwise interactions between …