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

Over the past decade, there has been a surge of empirical research investigating mental
disorders as complex systems. In this article, we investigate how to best make use of this …

Network psychometrics is a new direction in psychological research that conceptualizes
psychological constructs as systems of interacting variables. In network analysis, variables …

Gaussian graphical models (GGM; partial correlation networks) have become increasingly
popular in the social and behavioral sciences for studying conditional (in) dependencies …

In 1904, Spearman reported the positive manifold—a pattern of exclusively positive
correlations among cognitive test scores—for which he proposed the g-factor theory of …

Over the past decade, the idiographic approach has received significant attention in clinical
psychology, incentivizing the development of novel approaches to estimate statistical …

Using network analysis, we estimated the structure of relations among manic and
depressive symptoms, respectively, in 486 patients (59% women; age: M= 37, SD= 12.1) …

There is growing concern about the role of social media use in the documented increase of
adolescent mental health difficulties. However, the current evidence remains complex and …

Network approaches to psychopathology have become increasingly common in mental
health research, with many theoretical and methodological developments quickly gaining …

Personalized networks of psychological symptoms aim to advance therapy by identifying
treatment targets for specific patients. Statistical relations in such networks can be estimated …