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

The promise of co-production to address complex sustainability challenges is compelling.
Yet, co-production, the collaborative weaving of research and practice, encompasses …

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 …

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 …

Empirical publications inspired by the network approach to psychopathology have increased
exponentially in the twenty-first century. The central idea that an episode of mental disorder …

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

Aging is a predominant risk factor for several chronic diseases that limit healthspan.
Mechanisms of aging are thus increasingly recognized as potential therapeutic targets …

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

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 …