Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers

Hospitals are high-stress environments where workers face a high risk of occupational burnout due to a mix of imbalanced schedules, understaffing, and emotional stress. In this paper, we propose a computational framework to infer the latent psychological makeup and traits of hospital workers. We apply machine learning models to psychometric data obtained from a suite of psychological survey instruments, collected as a part of TILES, a ten-week...