837 research outputs found
Possible Futures for Network Psychometrics
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 several possible future paths for research in this area. These include the development of models to analyze and represent interventions, improvement in exploratory and inferential techniques in network psychometrics, the articulation of psychometric theories in addition to psychometric models, and extensions of network modeling to novel data sources. Finally, network psychometrics is part of a larger movement in psychology that revolves around the analysis of human beings as complex systems, and it is timely that psychometricians start extending their rich modeling tradition to improve and extend the analysis of systems in psychology
More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism
Repetitive behaviors in autism and obsessive-compulsive disorder:new perspectives from a network analysis
The association between autism and obsessive-compulsive disorder (OCD) seems largely dependent upon observed similarities in the repetitive behaviors that manifest in both disorders. The aim of this study was to use a network approach to explore the interactions between these behaviors. We constructed a network based on clinician’s perceptions as well as a network based on 213 clinically diagnosed children. In all networks, autism and OCD emerged as two distinct symptom clusters and obsessions and compulsions showed few direct associations with autism symptoms. Further, sensory interests were identified as behaviors that may contribute to the link between autism and OCD. Through network analysis, we expose the symptom pathways that may lead to the perceived association between autism and OCD
The exploratory value of cross-sectional partial correlation networks:Predicting relationships between change trajectories in borderline personality disorder
The exploratory value of cross-sectional partial correlation networks:Predicting relationships between change trajectories in borderline personality disorder
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