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

Recent years have seen an emergence of network modeling applied to moods, attitudes,
and problems in the realm of psychology. In this framework, psychological variables are …

Due to increasing ease of use and ability to quickly collect large samples, online
behavioural research is currently booming. With this popularity, it is important that …

This book presents powerful tools for integrating interrelated composites--such as
capabilities, policies, treatments, indices, and systems--into structural equation modeling …

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 …

Background and aims Previous research has explored the relationship between fear of
missing out (FoMO), social network site (SNS) use, and/or smartphone addiction by …

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

Since the introduction of mental disorders as networks of causally interacting symptoms, this
novel framework has received considerable attention. The past years have resulted in over …

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 …

Purpose The network perspective on psychopathology understands mental disorders as
complex networks of interacting symptoms. Despite its recent debut, with conceptual …