Quantitative Psychology and Individual Differences
Putting affective dynamics into context
Affective phenomena are often conceptualized as continuously changing processes and studied by means of time series modeling. Little is known, however, on how a person’s affective processes interact with changes in contexts. The goal of this project is to obtain more accurate descriptions of affective processes, by innovative approaches that allow time series models to be time-varying and dependent on changes in contexts. These approaches will be applied to existing intense longitudinal affect data. At the same time, attention will be paid to designing future longitudinal studies (e.g., their sampling scheme) such that the models can be estimated optimally.
Eva Ceulemans, Janne Adolf, Peter Kuppens