APS
2023 APS Annual Convention · 2023
Identifying Multilevel Predictors of Trajectories of Psychopathology and Resilience Among Juvenile Offenders: A Machine Learning Approach
Session: General Flash Talks
Authors
- Huinan LIUPresenting Author
Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong SAR, China - Huinan LIUPresenting Author
Department of Special Education & Counselling, The Education University of Hong Kong, Hong Kong SAR, China - George Bonanno
Teachers College, Columbia University - Wai Kai Hou
Department of Psychology, The Education University of Hong Kong - Wai Kai Hou
The EdUHK
Abstract
This study aims to identify heterogeneous trajectories of probable psychiatric conditions and their predictors. 574 serious juvenile offenders were assessed for seven years. Growth mixture modeling revealed three trajectories for both probable anxiety and probable depression: resilience, chronicity, and recovery, which can be predicted by personal, relationship, and contextual factors.
Psychopathology
