APS
APS Virtual Poster Showcase
Using Manifest and Latent Dynamics to Move from ``These Data Imply’’ to Understanding Intraindividual Processes
Recent work on intensive longitudinal data collection has improved our ability to model the dynamic quantities at play in psychology and behavioral science. These talks present novel approaches that take this idea to the next step: integrating this dynamical into even the measurement of those quantities.
Chairs & Discussants
- Ryne EstabrookChair
University of Illinois at Chicago - Timothy BrickCoChair
The Pennsylvania State University
Presentations
- Turning Person-Specific Paradigms into Latent Variable MeasurementRyne Estabrook
- Using the Measurement Model of Derivatives to Evaluate and Refine Measurement Scales in Longitudinal Education DataKyle Husmann
- Using Hidden Markov Models to Predict State Transitions in Longitudinal Health and Behavior OutcomesChelsea Dickens
- What to Measure When: Context-Based Measurement Adaptation in Real Time Timothy Brick