University of Groningen
Correlation, causation, and dynamics Bhushan, Nitin
DOI:
10.33612/diss.126588820
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Publication date: 2020
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Bhushan, N. (2020). Correlation, causation, and dynamics: Methodological innovations in sustainable energy behaviour research. University of Groningen. https://doi.org/10.33612/diss.126588820
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Propositions associated with the dissertation
Correlation, Causation, and Dynamics: Methodological Innovations in Sustainable Energy Behaviour Research
by Nitin Bhushan.
1. The Gaussian graphical model is a useful exploratory analysis tool which provides an easy to comprehend visualisation of relationships between items and variables related to sustainable energy behaviours (Chapter 2).
2. Causal search methods tend to be inaccurate and sensitive to sampling noise in dense settings and with small sample sizes (Chapter 3).
3. Approaching causal inference formally using methods such as graphical causal models can lead to an improved design, more rigorous evaluation of effects of an intervention, and a better understanding of the
processes underlying effects of an intervention aimed to encourage sustainable energy behaviour (Chapter 4).
4. While adopting renewable sources of energy such as photovoltaic panels does mitigate anthropogenic climate change, there is even more to gain by shifting energy use to moments when the photovoltaic panels
produce energy (Chapter 5).
5. Interdisciplinary collaboration is needed to design effective strategies to encourage sustainable energy behaviour.
6. In the era of pre-registration, exploratory research may find itself devalued.
7. Statisticians, like artists, have the bad habit of falling in love with their models – George Box.
8. Rock climbing and bouldering, like engineering and statistics, is all about efficiency.
