British Election Study, 2019: Post-Election Random Probability Survey

DOI

Abstract copyright UK Data Service and data collection copyright owner. 

David Butler and Donald Stokes founded the British Election Study (BES) in 1964. They did so with the aim of understanding political change in Britain. Their project transformed the study of electoral behaviour. Indeed, it was so successful that a version of the BES has run after every general election ever since. Almost six decades later, the BES is now one of the world’s longest-running social surveys. After every general election, the BES surveys a representative sample of the British electorate. It asks them what they believe, what they think about parties and politicians, and how they voted. The BES team then makes these world-class data available for free, as part of its commitment to public engagement and impact. The British electorate has become more volatile in recent decades. This volatile environment has allowed recent political shocks and events to bring about a period of rapid and dramatic political change. In 2015 we witnessed fragmentation of party support with the collapse of the Liberal Democrats and the rise of smaller and newer parties such as UKIP, the Greens, and the SNP. In 2017, following the Brexit vote, this was reversed, with a surge in support for the Conservatives and Labour, with many voters choosing on the basis of their attitudes towards Europe and immigration. Whatever form Brexit eventually takes, it will have huge electoral consequences and the next five years are likely to see further shifts in the electoral landscape. The 2019 British Election Study Post-Election Random Probability Survey is designed to provide a deep and theoretically informed understanding of those changes -- both for academic and non-academic beneficiaries.

Main Topics:

British politics; elections; political behaviour and attitudes

Multi-stage stratified random sample

Postal survey

Face-to-face interview: Computer-assisted (CAPI/CAMI)

Self-administered questionnaire: Web-based (CAWI)

Identifier
DOI http://doi.org/10.5255/UKDA-SN-8875-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=f77539f11ff7626afe5fc1d8bc63c802c4cc2851ae8f1dc2ed53595128dcd94e
Provenance
Creator Fieldhouse, E., University of Manchester, School of Social Sciences, Politics; Green, J., University of Oxford, Nuffield College; Evans, G., University of Oxford, Nuffield College; Prosser, C., University of Manchester, Department of Politics; de Geus, R., University of Oxford, Nuffield College; Bailey, J., University of Manchester, School of Social Sciences, Politics; Schmitt, H., University of Manchester, School of Social Sciences; van der Eijk, C., University of Nottingham, School of Social Studies; Mellon, J., University of Manchester, School of Social Sciences
Publisher UK Data Service
Publication Year 2022
Funding Reference Economic & Social Research Council
Rights Copyright Economic and Social Research Council; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p>
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Economics; Humanities; Jurisprudence; Law; Philosophy; Social and Behavioural Sciences
Spatial Coverage Great Britain