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Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021)
This research note presents the RepResent Belgian Panel (RBP). The RBP is a voter panel survey consisting of four waves fielded to a sample of voters in Belgium around the May 2019 federal, regional, and European elections in Belgium. It provides unique data on about 250 variables for a quota sample...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228433/ http://dx.doi.org/10.1057/s41304-023-00430-z |
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author | Michel, Elie Feitosa, Fernando Lefevere, Jonas Pilet, Jean-Benoît van Erkel, Patrick van Haute, Emilie |
author_facet | Michel, Elie Feitosa, Fernando Lefevere, Jonas Pilet, Jean-Benoît van Erkel, Patrick van Haute, Emilie |
author_sort | Michel, Elie |
collection | PubMed |
description | This research note presents the RepResent Belgian Panel (RBP). The RBP is a voter panel survey consisting of four waves fielded to a sample of voters in Belgium around the May 2019 federal, regional, and European elections in Belgium. It provides unique data on about 250 variables for a quota sample of the same respondents, pre-2019 elections (N = 7351), post-2019 elections (N = 3909), one year after the elections (N = 1996), and 2 years after the elections (N = 1119). The RBP panel dataset was designed to analyse voters’ political attitudes and behaviours, notably on different dimensions of democratic representation, and with a specific focus on democratic resentment (e.g. citizens’ attitudes towards democracy such as distrust and alienation, but also behaviours such as abstention, protest, or voting for anti-establishment parties). Its longitudinal structure allows to explore the political dynamics at play in Belgium throughout the lengthy government formation process. Finally, the last two waves of the RBP were fielded during the Covid-19 pandemic, allowing to explore public opinion before and during this global crisis. The RBP should be of interest to scholars of public opinion and electoral studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1057/s41304-023-00430-z. |
format | Online Article Text |
id | pubmed-10228433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102284332023-06-01 Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021) Michel, Elie Feitosa, Fernando Lefevere, Jonas Pilet, Jean-Benoît van Erkel, Patrick van Haute, Emilie Eur Polit Sci Dataset This research note presents the RepResent Belgian Panel (RBP). The RBP is a voter panel survey consisting of four waves fielded to a sample of voters in Belgium around the May 2019 federal, regional, and European elections in Belgium. It provides unique data on about 250 variables for a quota sample of the same respondents, pre-2019 elections (N = 7351), post-2019 elections (N = 3909), one year after the elections (N = 1996), and 2 years after the elections (N = 1119). The RBP panel dataset was designed to analyse voters’ political attitudes and behaviours, notably on different dimensions of democratic representation, and with a specific focus on democratic resentment (e.g. citizens’ attitudes towards democracy such as distrust and alienation, but also behaviours such as abstention, protest, or voting for anti-establishment parties). Its longitudinal structure allows to explore the political dynamics at play in Belgium throughout the lengthy government formation process. Finally, the last two waves of the RBP were fielded during the Covid-19 pandemic, allowing to explore public opinion before and during this global crisis. The RBP should be of interest to scholars of public opinion and electoral studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1057/s41304-023-00430-z. Palgrave Macmillan UK 2023-05-30 /pmc/articles/PMC10228433/ http://dx.doi.org/10.1057/s41304-023-00430-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Dataset Michel, Elie Feitosa, Fernando Lefevere, Jonas Pilet, Jean-Benoît van Erkel, Patrick van Haute, Emilie Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021) |
title | Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021) |
title_full | Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021) |
title_fullStr | Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021) |
title_full_unstemmed | Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021) |
title_short | Studying dimensions of representation: introducing the Belgian RepResent panel (2019–2021) |
title_sort | studying dimensions of representation: introducing the belgian represent panel (2019–2021) |
topic | Dataset |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228433/ http://dx.doi.org/10.1057/s41304-023-00430-z |
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