TIME: Temporal Influences of Movement and Exercise
- Goal: Assess differences in the micro-temporal processes underlying the adoption versus maintenance of behaviors
- Theoretical Framework: Dual-Process Model of Decision-making and Behavior
- Measurement: Prospective within-subject case-crossover observational design collecting Intensive Longitudinal Data (ILD) across 12-months in ethnically-diverse emerging adults (ages 18-24)
- Modeling: Two-pronged approach: Use machine learning (ML) to identify person-specific combinations of factors predicting behavior episodes and lapses. Use multilevel regression to identify time-varying and time-invariant moderators
Project Person