APS
2023 APS Annual Convention
New Methods for Analysis of Nonlinear Systems from Intensive Longitudinal Data
Theories of psychological systems often acknowledge nonlinearity by arguing from first principles. Data from intensive longitudinal designs using smart devices are now available. Four new methods for estimating and testing nonlinear dynamical systems from time series data will be presented and discussed using psychological examples.
Chairs & Discussants
- Steven BokerChair
University of Virginia
Presentations
- Stability and Spread: Transition Metrics That Are Robust to Time Interval MisspecificationKatharine Daniel
- Operationalizing Theory about the Development of Word Recognition Skill Using Chess Rankings and Kalman FiltersKyle Husmann
- Nonlinear Latent Differential EquationsRobert Moulder
- Phavok: Linearize and Forecast Nonlinear Time Series across TimescalesElena Martynova
