Bielewicz, Kacper (2021) Effects of lockdown stringency on trust in government and mental well being in times of COVID-19, based on PsyCorona and oxCGRT data sets. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Past research demonstrated that the COVID-19 pandemic and lockdowns caused by it had significant effects on mental well being and trust in government. This study aims to examine how those effects differ depending on the stringency of lockdowns in different palaces. The data used in the analysis comes from the longitudinal survey study PsyCorona which gathered responses from participants all over the world since the beginning of the pandemic and from the Oxford COVID-19 Government Response Tracker. The study used among other linear regression, principal component analysis, mediation analysis and others. The study has found a positive correlation between mental well being and trust in government. It found that stringency had a positive effect on trust in government and a negative effect on mental well being. It further found that the frequency of changes to stringency has a positive impact on trust in government while, its effects on mental well being differed depending on the period on which they are measured. Lastly the study used LSTM models in order to examine whether the individual trajectories of mental well being and trust in government can be predicted. The results were significantly better than the persistence model, which predicts no change in values.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Vugt, M.K. van |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 20 Jul 2021 15:45 |
| Last Modified: | 20 Jul 2021 15:45 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/25382 |
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