APS
2022 APS Annual Convention
Investigating Psychopathology As Dynamical Systems: Using Time-Intensive Longitudinal Data to Predict Clinical Outcomes and Inform Interventions
This symposium integrates studies investigating a range of psychopathology using ecological momentary assessment to address questions concerning clinical outcomes and clinical decision-making. Presenters apply varied statistical approaches to analyze time-intensive longitudinal data to predict future behavior and offer data-driven insights for optimal points of clinical intervention.
Chairs & Discussants
- Claire CusackChair
University of Louisville - Cheri LevinsonDiscussant
University of Louisville
Presentations
- Using Centrality Metrics from Idiographic Networks to Predict Change in Depressive SymptomsClaire Cusack, Caroline Christian, Christina Ralph-Nearman, Aaron Fisher, Cheri Levinson
- Idiographic Prediction of Suicidal Thoughts after Discharge from Psychiatric HospitalizationShirley Wang, Ruben Van Genugten, Maha Al-Suwaidi, Kate Bentley, Dylan DeMarco, Walter Dempsey, et al.
- Future- and Past-Oriented Emotions Associations with Momentary and Prospective Mealtime Avoidance and Physical DiscomfortRowan Hunt, Claire Cusack, Caroline Christian, Cheri Levinson
- A Clinical Premise for Eating Disorders: Integrating Clinical Information and Intensive Longitudinal Data in Establishing Idiographic NetworksJulian Burger, Christina Ralph-Nearman, Cheri Levinson
