APS
2023 APS Annual Convention · 2023
Generalized Network Psychometrics: Structure of Eating Disorders Best Explained By a Hybrid Latent Variable and Network Framework
- Yiyang Chen
University of Kansas - Kelsie Forbush
University of Kansas - Trevor Swanson
University of Kansas - Cynthia Siew
National University of Singapore - Kelsey Hagan
Columbia University - Danielle Chapa
University of Kansas - Jenna Tregarthen
Recovery Record - Jennifer Wildes
University of Chicago - Kara Christensen
University of Nevada Las Vegas
Abstract
We compared three commonly used methods (latent variable models, network models, and hybrid models with both latent variable and network structures) in their abilities to model the structure of Eating Disorders. The hybrid model was identified as the best-fitting model. Results provide clinical inferences on each Eating Disorder symptom.
Eating
