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  <dc:identifier>doi:10.17026/DANS-24R-225B</dc:identifier><dc:identifier>easy-dataset:79842</dc:identifier>
  <dc:identifier>https://doi.org/10.17026/DANS-24R-225B</dc:identifier>
  <dc:title xml:lang="en">Stem-Consult: Voting Advice Application data for the 2017 parliamentary election in the Netherlands</dc:title>
  <dc:creator xml:lang="en">K Gemenis</dc:creator><dc:creator xml:lang="en">S.C.J. Bruinsma</dc:creator><dc:creator xml:lang="en">C Djouvas</dc:creator><dc:creator xml:lang="en">V Manavopoulos</dc:creator><dc:creator xml:lang="en">F Mendez</dc:creator>
  <dc:description xml:lang="en">&lt;p&gt;The data presented in the accompanying files were collected through the Voting Advice Application (VAA) Stem-Consult, which was designed for the 2017 election for the House of Representatives (Tweede Kamer) in the Netherlands which took place on March 15th, 2017. VAAs are contemporary technological solutions that aim to lower the cost of information that citizens face during elections. They do so primarily by comparing the positions of voters to the positions of candidates or political parties on a set of relevant policy issues and informing voters about how well their preferences match with those of the parties or candidates. The deposited datafiles contain the responses of those who visited the website and completed the online questionnaire, the estimates for the policy positions of the 14 largest political parties contesting the election, and the information that was used to estimate the positions of the political parties.&lt;/p&gt;</dc:description>
  <dc:subject xml:lang="en">Social Sciences</dc:subject>
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  <dc:date xml:lang="en">2017-03-15</dc:date>
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