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Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi

This data article provides a descriptive overview of the “EU Profiler/euandi trend file (2009–2019)“ dataset and the data collection methods. The dataset compiles party position data from three consecutive pan-European Voting Advice Applications (VAAs), developed by the European University Institute...

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Autores principales: Reiljan, Andres, da Silva, Frederico Ferreira, Cicchi, Lorenzo, Garzia, Diego, Trechsel, Alexander H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341343/
https://www.ncbi.nlm.nih.gov/pubmed/32671164
http://dx.doi.org/10.1016/j.dib.2020.105968
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author Reiljan, Andres
da Silva, Frederico Ferreira
Cicchi, Lorenzo
Garzia, Diego
Trechsel, Alexander H.
author_facet Reiljan, Andres
da Silva, Frederico Ferreira
Cicchi, Lorenzo
Garzia, Diego
Trechsel, Alexander H.
author_sort Reiljan, Andres
collection PubMed
description This data article provides a descriptive overview of the “EU Profiler/euandi trend file (2009–2019)“ dataset and the data collection methods. The dataset compiles party position data from three consecutive pan-European Voting Advice Applications (VAAs), developed by the European University Institute for the European Parliament elections in 2009, 2014 and 2019. It includes the positions of 411 parties from 28 European countries on a wide range of salient political issues. Altogether, the dataset contains more than 20 000 unique party positions. To place the parties on the political issues, all three editions of the VAA have used the same iterative method that combines party self-placement and expert judgement. The data collection has been a collective effort of several hundreds of highly trained social scientists, involving experts from each EU member state. The political statements that the parties were placed on, were identical across all the countries and 15 of the statements remained the same throughout all three waves (2009, 2014, 2019) of data collection. Because of the unique methodology and the large volume of data, the dataset offers a significant contribution to the research on European party systems and on party positioning methodologies.
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spelling pubmed-73413432020-07-14 Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi Reiljan, Andres da Silva, Frederico Ferreira Cicchi, Lorenzo Garzia, Diego Trechsel, Alexander H. Data Brief Social Science This data article provides a descriptive overview of the “EU Profiler/euandi trend file (2009–2019)“ dataset and the data collection methods. The dataset compiles party position data from three consecutive pan-European Voting Advice Applications (VAAs), developed by the European University Institute for the European Parliament elections in 2009, 2014 and 2019. It includes the positions of 411 parties from 28 European countries on a wide range of salient political issues. Altogether, the dataset contains more than 20 000 unique party positions. To place the parties on the political issues, all three editions of the VAA have used the same iterative method that combines party self-placement and expert judgement. The data collection has been a collective effort of several hundreds of highly trained social scientists, involving experts from each EU member state. The political statements that the parties were placed on, were identical across all the countries and 15 of the statements remained the same throughout all three waves (2009, 2014, 2019) of data collection. Because of the unique methodology and the large volume of data, the dataset offers a significant contribution to the research on European party systems and on party positioning methodologies. Elsevier 2020-07-02 /pmc/articles/PMC7341343/ /pubmed/32671164 http://dx.doi.org/10.1016/j.dib.2020.105968 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Social Science
Reiljan, Andres
da Silva, Frederico Ferreira
Cicchi, Lorenzo
Garzia, Diego
Trechsel, Alexander H.
Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi
title Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi
title_full Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi
title_fullStr Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi
title_full_unstemmed Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi
title_short Longitudinal dataset of political issue-positions of 411 parties across 28 European countries (2009–2019) from voting advice applications EU profiler and euandi
title_sort longitudinal dataset of political issue-positions of 411 parties across 28 european countries (2009–2019) from voting advice applications eu profiler and euandi
topic Social Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341343/
https://www.ncbi.nlm.nih.gov/pubmed/32671164
http://dx.doi.org/10.1016/j.dib.2020.105968
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