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Thesis

Measuring and forecasting public opinion with non-representative samples

Abstract:

In this doctoral thesis, I reflect on methods to leverage non-representative samples to measure and forecast public opinion in the run-up to an election. The thesis is made up of three separate papers, dealing with a number of issues around the topic of convenience samples; these issues include a) how and where to collect non-representative data, and how to enhance them with external, auxiliary sources; b) how to construct reliable and deep stratification weights, when these are not immedi...

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Division:
SSD
Department:
Sociology
Role:
Author

Contributors

Role:
Contributor
ORCID:
0000-0002-1166-7674
Role:
Supervisor
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Name:
Economic and Social Research Council
Funding agency for:
Cerina, R
Grant:
ES/J500112/1
Programme:
Advanced Quantitative Methods
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
Deposit date:
2021-03-07

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