Comparing Latent Variable and Psychological Network Models in Mental and Physical Health Symptom Data

Network modeling promises conceptual and statistical benefits over traditional latent variable modeling when measuring symptoms of psychopathology and their interrelationships. We extend published comparisons of these frameworks to the health context with high-quality empirical data and argue that network centrality indices and community detection may in fact provide novel information.