Putting affective dynamics into context: a comprehensive moderated time series approach KU Leuven
Affect research relies on intensive longitudinal data nowadays to understand the dynamics underneath affective functioning. To unravel them, vector autoregressive (VAR) models, in which affective states are regressed upon each other over time, have become especially popular. Theoretical work, however, emphasizes the notion of regulatory flexibility, suggesting that affective dynamics depend on and thus change with context. To empirically ...