APS
2024 APS Annual Convention
Many Observations, Many Possibilities: Four Approaches to Modeling Emotion Data Collected 24x/Day for 15 Days
The proposed symposium will present four approaches to modeling intensive longitudinal data collected 24 times per day for at least 15 days. The number and density of the observations supports the application of powerful statistical and machine learning approaches for generating new insights into the dynamics of daily emotion.
Chairs & Discussants
- Kelly DombekChair
University of California, Berkeley - Aaron FisherDiscussant
University of California, Berkeley
Presentations
- Emotion Globalizing Phenomena and Individual Differences in Psychiatric SymptomsKyrsten Hill
- Applications of Vector Autoregression to Represent Emotion Dynamics Kelly Dombek
- Unsupervised Machine Learning and Potential Applications for Just-in-Time InterventionsAndrea Cladek
- Applications of Set Theory to Identify Temporal Sequence in Emotion DynamicsNatalie Samuels
