Project
Capturing similarity in multivariate dyadic time series: a statistical framework.

The aim of this PhD project is to develop, evaluate and apply new time series models for studying whether and how emotional connectedness in close relationships (dyads) fluctuates across time in daily life and in the lab. 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. Finally, we will develop associated open source software and apps (building on for instance R)  to allow other researchers to use the new methods and time series models.

Supervisors
Eva Ceulemans, Peter Kuppens

Period
2021-2025