Throughout the years, political scientists have devised a multitude of techniques to position political parties on various ideological and policy/issue dimensions. So far, however, none of these techniques was able to evolve into a ‘‘gold standard’’ in party positioning. Against this background, one could recently witness the appearance of a new methodology for party positioning tightly connected to the spread of Voting Advice Applications (VAAs), i.e. an iterative method that aims at improving existing techniques using a combination of party self-placement and expert judgement. Such a method, as pioneered by the Dutch Kieskompas, was first systematically employed on a large cross-national scale by the EU Prof iler VAA in the context of the 2009 European Parliamentary elections. This article introduces the party placement datasets generated by euandi (reads: EU and I), a transnational VAA for the 2014 EP elections. The scientific relevance of the euandi endeavour lies primarily in its choice to stick to the iterative method of party positioning employed by the EU Prof iler in 2009 as well as in the choice to keep as many as 17 policy statements in the 2014 questionnaire in order to allow for cross-national, longitudinal research on party competition in Europe across a five-year period. This article provides a brief review of traditional methods of party positioning and contrasts them to the iterative method employed by the euandi team. It then introduces the specifics of the project, facts and figures of the data collection procedure, and the details of the resulting dataset encompassing 242 parties from the whole EU28.

Party placement in supranational elections: An introduction to the euandi 2014 dataset / Garzia, D.; Trechsel, A.; DE SIO, Lorenzo. - In: PARTY POLITICS. - ISSN 1354-0688. - (2015), pp. 1-9. [10.1177/1354068815593456]

Party placement in supranational elections: An introduction to the euandi 2014 dataset

DE SIO, LORENZO
2015

Abstract

Throughout the years, political scientists have devised a multitude of techniques to position political parties on various ideological and policy/issue dimensions. So far, however, none of these techniques was able to evolve into a ‘‘gold standard’’ in party positioning. Against this background, one could recently witness the appearance of a new methodology for party positioning tightly connected to the spread of Voting Advice Applications (VAAs), i.e. an iterative method that aims at improving existing techniques using a combination of party self-placement and expert judgement. Such a method, as pioneered by the Dutch Kieskompas, was first systematically employed on a large cross-national scale by the EU Prof iler VAA in the context of the 2009 European Parliamentary elections. This article introduces the party placement datasets generated by euandi (reads: EU and I), a transnational VAA for the 2014 EP elections. The scientific relevance of the euandi endeavour lies primarily in its choice to stick to the iterative method of party positioning employed by the EU Prof iler in 2009 as well as in the choice to keep as many as 17 policy statements in the 2014 questionnaire in order to allow for cross-national, longitudinal research on party competition in Europe across a five-year period. This article provides a brief review of traditional methods of party positioning and contrasts them to the iterative method employed by the euandi team. It then introduces the specifics of the project, facts and figures of the data collection procedure, and the details of the resulting dataset encompassing 242 parties from the whole EU28.
European elections, political issues, Voting Advice Applications
Party placement in supranational elections: An introduction to the euandi 2014 dataset / Garzia, D.; Trechsel, A.; DE SIO, Lorenzo. - In: PARTY POLITICS. - ISSN 1354-0688. - (2015), pp. 1-9. [10.1177/1354068815593456]
File in questo prodotto:
File Dimensione Formato  
2015 Party Politics euandi TEMP.pdf

Solo gestori archivio

Descrizione: Article published online before print July 7, 2015
Tipologia: Versione dell'editore
Licenza: Tutti i diritti riservati
Dimensione 185.97 kB
Formato Adobe PDF
185.97 kB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11385/155508
Citazioni
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 10
social impact