This article reviews the causal implications of latent variable and psychometric network
models for the validation of personality trait questionnaires. These models imply different …

Exploratory graph analysis (EGA) is a new technique that was recently proposed within the
framework of network psychometrics to estimate the number of factors underlying …

In the past decades, reductionism has dominated both research directions and funding
policies in clinical psychology and psychiatry. The intense search for the biological basis of …

An empirically based understanding of the factor structure of the restricted and repetitive
behaviors (RRB) domain is a prerequisite for interpreting studies attempting to understand …

Openness to Experience is a complex trait, the taxonomic structure of which has been widely
debated. Previous research has provided greater clarity of its lower order structure by …

Abstract The Difficulties in Emotion Regulation Scale (DERS) is an extensively used
questionnaire to measure emotion regulation both in clinical and research practice but its …

Interest in the psychology of misinformation has exploded in recent years. Despite ample
research, to date there is no validated framework to measure misinformation susceptibility …

The current study implements psychometric network analysis within the framework of
confirmatory (structural equation) modeling. Utility is demonstrated by three applications on …

This article introduces the NetworkToolbox package for R. Network analysis offers an
intuitive perspective on complex phenomena via models depicted by nodes (variables) and …

The accurate identification of the content and number of latent factors underlying multivariate
data is an important endeavor in many areas of Psychology and related fields. Recently, a …