Sigert Ariens

KU Leuven
Quantitative Psychology and Individual Differences

On 19 September 2023 Ariens Sigert defended her thesis: Regression approaches for modeling affect dynamics: Leveraging on context and serial dependence at the university of Leuven.

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

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