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Web based surveys - Greek Elections 2015

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doi.org2016-08-19 更新2025-03-23 收录
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https://doi.org/10.3886/E100074V21
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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

本项目希腊国家选举研究(ELNES)旨在探究投票行为之成因与后果,以及在经济危机背景下的民主运作方式。ELNES以极低的成本产出价值数百欧元的希腊选举行为数据,通过充分利用新技术工具,为关注希腊政治深层次与重要问题的学者提供独特的研究资源。2015年的希腊投票建议应用HelpMeVote在官方启动日(2015年7月1日)至选举日(2015年1月25日)期间被使用超过57万次。根据Andreadis(2012,2014)提供的清洗技术,经过清洗的数据集包含543,870个案例。2015年1月希腊议会选举的公民参与人数为6,330,786人。因此,若假设所有HelpMeVote用户仅使用一次该应用,且几乎所有用户均参与了选举,则可估算HelpMeVote用户约占2015年1月希腊议会选举参与者总数的8.6%。 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.
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