Metadata record for Web based surveys - Greek Elections 2015
100074
Inter-university Consortium for Political and Social Research
ICPSR metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License.
V21
Web based surveys - Greek Elections 2015
100074
http://doi.org/10.3886/E100074V21
Ioannis Andreadis
Please see full citation.
This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Ann Arbor, MI: Inter-university Consortium for Political and Social Research
Andreadis, Ioannis. Web based surveys - Greek Elections 2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-04-01. https://doi.org/10.3886/E100074V21
parliamentary elections
[voting behavior
voters]
The project Hellenic National Election Studies (ELNES) facilitates research on the causes and consequences of voting behaviour and on the way democracy works in a country under financial crisis. ELNES produces hundreds of euro worth of data on electoral behaviour in Greece at a fractional cost. By effectively taking advantage of new technology tools, ELNES provides a unique resource for scholars interested in deep and consequential questions on Greek politics.HelpMeVote 2015 is a Greek Voting Advice Application that was completed more than 570000 times in the period from its official beginning (07/01/2015) until the Election Day (25/01/2015). Following the cleaning techniques provided by Andreadis (2012, 2014) the cleaned dataset includes 543870 cases. The number of citizens who have participated in the Greek Parliamentary Elections of January 2015 is 6330786. Thus, if we suppose that all HelpMeVote users have used it only once and that almost all of them have participated in the elections, then we can estimate that HelpMeVote users are circa 8.6% of those who participated in the Greek Parliamentary Elections of January 2015. Andreadis, I. (2012) To Clean or not to Clean? Improving the Quality of VAA Data XXII World Congress of Political Science (IPSA), Madrid Andreadis, I. (2014) Data Quality and Data Cleaning in Garzia, D. Marschall, S. (eds) Matching Voters with Parties and Candidates. Voting Advice Applications in Comparative Perspective, ECPR Press
Greece