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 comparison of idiographic network structures to determine the presence of
heterogeneity is a challenging endeavor in many applied settings. Previously, researchers …

Statistical network models describing multivariate dependency structures in psychological
data have gained increasing popularity. Such comparably novel statistical techniques …

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

This commentary reflects on the articles included in the Psychometrika Special Issue on
Network Psychometrics in Action. The contributions to the special issue are related to …

The Gaussian graphical model (GGM) has recently grown popular in psychological
research, with a large body of estimation methods being proposed and discussed across …

Abstract Forbes, Wright, Markon, and Krueger (2017) make a compelling case for
proceeding cautiously with respect to the overinterpretation and dissemination of results …

Social network analysis is a large and growing body of research on the measurement and
analysis of relational structure. Here, we review the fundamental concepts of network …

In recent years, network models have been proposed as an alternative representation of
psychometric constructs such as depression. In such models, the covariance between …

Pairwise Markov random field networks—including Gaussian graphical models (GGMs) and
Ising models—have become the “state-of-the-art” method for psychopathology network …