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

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 …

Background Research shows that the COVID Stress Scales have a robust multifactorial
structure, representing five correlated facets of COVID‐19‐related distress:(a) Fear of the …

Tropical forests disappear rapidly because of deforestation, yet they have the potential to
regrow naturally on abandoned lands. We analyze how 12 forest attributes recover during …

Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

Recently, researchers in clinical psychology have endeavored to create network models of
the relationships between symptoms, both within and across mental disorders. Symptoms …

This study reports a comprehensive empirical investigation of the nature and correlates of
anti-mask attitudes during the COVID-19 pandemic. Accumulating evidence underscores the …

The network approach to psychopathology posits that mental disorders can be
conceptualized and studied as causal systems of mutually reinforcing symptoms. This …

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

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 …