Correlation, causation, and dynamics
|PhD ceremony:||Mr N. (Nitin) Bhushan|
|When:||June 04, 2020|
|Supervisors:||prof. dr. C.J. (Casper) Albers, prof. dr. E.M. (Linda) Steg|
|Where:||Academy building RUG|
|Faculty:||Behavioural and Social Sciences|
The global consensus today states that climate change is due to human activities. The main driver of anthropogenic climate change is rising levels of carbon dioxide in the atmosphere. Encouraging households to engage in sustainable energy behaviours would help mitigate climate change. To understand which factors are related to sustainable energy behaviours researchers have employed different methodological approaches and statistical models. Typically, these methodologies can be classified into correlational research which involves exploring relationships, (field) experiments which are better suited to establish causality, and longitudinal designs which examine how relationships between factors and sustainable energy behaviours change over time.
In this thesis, we introduced graphical models and generalised additive models to sustainable energy behaviours research, particularly to answers questions involving exploratory research, causal inference, and capturing differences in dynamic energy use patterns between groups.