Regression approaches for modeling affect dynamics: Leveraging on context and serial dependence KU Leuven
The field of affect dynamics studies how affect processes evolve over time. By collecting many repeated measurements of such processes over time, rich time series of intensive longitudinal data (ILD) become available. These data are analyzed in order to quantify features which could shed light on an individual's affective functioning. To do so requires the formulation of a model, and the use of statistics to estimate model parameters. An ...