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Measuring National Delegate Positions at the Convention on the Future of Europe Using Computerized Word Scoring
[journal article]
Benoit, Kenneth; Laver, Michael; Arnold, Christine; Pennings, Paul; Hosli, Madeleine O.
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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-228881
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| Abstract | The Convention on the Future of Europe that led to the eventual drafting of an EU Constitution involved numerous political actors from many countries. Their negotiations over the constitution generated a huge volume of texts containing substantive information about their preferences for EU institutional and political outcomes. In this paper, we attempt to measure these preferences at the national party level by analysing the Convention texts using the computerized ‘word-scoring’ method for text analysis (Laver et al., 2003). For each national party whose delegates’ texts were recorded at the Convention, we estimate their positions on four political dimensions. We then test the validity of these estimates by comparing them with measures of national party positions on EU policy dimensions obtained through an extensive expert survey undertaken in 27 countries (the EU 25 plus Turkey and Romania). Our results show strong evidence that the word-scoring method is broadly successful in reconstructing the map of national party preferences for and against a more centralized and more powerful Europe as expressed through the Convention texts. |
| Classification | European Politics; Natural Science and Engineering, Applied Sciences |
| Free Keywords | comparative party policy; computerized content analysis; EU Constitution; European Union; Laeken Convention; word scores; |
| Document language | English |
| Publication Year | 2005 |
| Page/Pages | p. 291-313 |
| Journal | European Union Politics, 6 (2005) 3 |
| DOI | http://dx.doi.org/10.1177/1465116505054834 |
| Status | Postprint; reviewed |
| Licence | PEER Licence Agreement (applicable only to documents from PEER project) |
| Document Type | journal article |