Modelling Alternative Electoral Systems in British Conditions in the 1990's

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The project was based around the data from a large scale opinion poll survey in which respondents were asked to <i>vote</i> again on ballot papers for the main electoral systems which are candidates for adoption for elections to the House of Commons. The four alternative systems under which respondents <i>voted</i> were the single transferable vote (STV); the alternative vote (AV); the supplementary vote (SV); and the additional member system (AMS). Various attitude questions were also asked. Data from this survey formed the basis for detailed simulations of how different systems would have operated in the general elections.

Non-random sampling based on demographic profiles of voters in the relevant regions. Quotas were s

Face-to-face interview

Identifier
DOI http://doi.org/10.5255/UKDA-SN-3881-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=edc1df8b619e9e208340e683f0d277a492edad7afd4cc306cef3fc8d396b22ef
Provenance
Creator Dunleavy, P., London School of Economics and Political Science, Department of Government; Margetts, H., University of London, Birkbeck College, Department of Politics and Sociology; O'Duffy, B., University of London, Birkbeck College, Department of Politics and Sociology; Weir, S., University of London, Birkbeck College, Department of Politics and Sociology
Publisher UK Data Service
Publication Year 1998
Funding Reference Economic and Social Research Council; Joseph Rowntree Charitable Trust; Democratic Audit
Rights Copyright Patrick Dunleavy, Helen Margetts and Stuart Weir; <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><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Great Britain