APS

APS Virtual Poster Showcase

Using Manifest and Latent Dynamics to Move from ``These Data Imply’’ to Understanding Intraindividual Processes

Sunday, May 24, 2020 · Virtual

Oral · Methodology

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

  1. Turning Person-Specific Paradigms into Latent Variable MeasurementRyne Estabrook
  2. Using the Measurement Model of Derivatives to Evaluate and Refine Measurement Scales in Longitudinal Education DataKyle Husmann
  3. Using Hidden Markov Models to Predict State Transitions in Longitudinal Health and Behavior OutcomesChelsea Dickens
  4. What to Measure When: Context-Based Measurement Adaptation in Real Time Timothy Brick