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

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 …

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 …

We present the R package mgm for the estimation of k-order mixed graphical models
(MGMs) and mixed vector autoregressive (mVAR) models in high-dimensional data. These …

Network analysis is an effective approach for examining complex relationships between
psychiatric symptoms. This study was designed to examine item-level relationships between …

Network models are an increasingly popular way to abstract complex psychological
phenomena. While studying the structure of network models has led to many important …

Network analysis is entering fields where network structures are unknown, such as
psychology and the educational sciences. A crucial step in the application of network …

This chapter demonstrates how the Ising model can be estimated. It shows that the Ising
model is equivalent to, or closely related to, prominent modeling techniques in …