Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)

Includes supplementary materials for the online appendix.

Detalles Bibliográficos
Autores: Torcal, Mariano, Santana, Andrés, Carty, Emily, Comellas, Josep Maria
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/55025
Acceso en línea:http://hdl.handle.net/10230/55025
http://dx.doi.org/10.1016/j.dib.2020.106059
Access Level:acceso abierto
Palabra clave:Dataset
Affective polarisation
Political polarisation
Elections
Voting behaviour
Challenger parties
Crisis
Spain
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repository_id_str
spelling Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)Torcal, MarianoSantana, AndrésCarty, EmilyComellas, Josep MariaDatasetAffective polarisationPolitical polarisationElectionsVoting behaviourChallenger partiesCrisisSpainIncludes supplementary materials for the online appendix.The E-DEM dataset provides information on the evolution of political and affective polarisation and electoral behaviour in the aftermath of the political crisis that shook the Spanish party system starting in 2014. The dataset is formed by a four-wave online panel survey of the Spanish voting age population between late October 2018 and May 2019. The four waves coincide with key moments in Spanish political life including local, regional, national, and European elections, as well as the conviction of Catalan secessionist leaders. It also covers the six-month period of the surge of Spain's new radical right party, Vox, spanning from shortly before its first major electoral success in Spain's most populous region, Andalusia, to its consolidation in the May 2019 European elections. The sample, which reflects the general population in terms of age, gender, and geographical province, consists of 1,484 panellists who completed the four waves, while the samples for individual waves are larger, ranging from 1,659 to 2,501 respondents. The data is especially useful for researchers who wish to explore dynamics of ideological and affective polarisation, factors that explain the rise of new parties, and for those investigating the evolution of political attitudes in general.The authors would like to express their gratitude to other members of the original research team that participated in one way or another in the design and implementation of the different waves of the survey: Javier Lorenzo, Sergio Martini, Melanie Revilla and Pedro Riera. The authors would also like to thank all respondents who participated in the survey. This research was supported by competitive grant funding from the Spanish Ministry of Economy and Competitivity. Ministerio de Economía y Competitividad, Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia (CSO2016–79772-P, 2017–2019, Principal Investigador: Mariano Torcal). The views expressed herein are those of the authors and are not necessarily those of the Spanish Ministry of Economy and Competitiveness, State Program for the Promotion of Scientific and Technical Research of Excellence. The PI of the project is also grateful for the funding provided by the Advance Research Fellowship Programme ICREA, funded by the Catalonian Government.Elsevier202220222020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/55025http://dx.doi.org/10.1016/j.dib.2020.106059reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésData in Brief. 2020 Oct;32:106059info:eu-repo/grantAgreement/ES/1PE/CSO2016-79772-P© 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/550252026-05-29T05:05:01Z
dc.title.none.fl_str_mv Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
title Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
spellingShingle Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
Torcal, Mariano
Dataset
Affective polarisation
Political polarisation
Elections
Voting behaviour
Challenger parties
Crisis
Spain
title_short Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
title_full Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
title_fullStr Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
title_full_unstemmed Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
title_sort Political and affective polarisation in a democracy in crisis: the E-Dem panel survey dataset (Spain, 2018–2019)
dc.creator.none.fl_str_mv Torcal, Mariano
Santana, Andrés
Carty, Emily
Comellas, Josep Maria
author Torcal, Mariano
author_facet Torcal, Mariano
Santana, Andrés
Carty, Emily
Comellas, Josep Maria
author_role author
author2 Santana, Andrés
Carty, Emily
Comellas, Josep Maria
author2_role author
author
author
dc.subject.none.fl_str_mv Dataset
Affective polarisation
Political polarisation
Elections
Voting behaviour
Challenger parties
Crisis
Spain
topic Dataset
Affective polarisation
Political polarisation
Elections
Voting behaviour
Challenger parties
Crisis
Spain
description Includes supplementary materials for the online appendix.
publishDate 2020
dc.date.none.fl_str_mv 2020
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/55025
http://dx.doi.org/10.1016/j.dib.2020.106059
url http://hdl.handle.net/10230/55025
http://dx.doi.org/10.1016/j.dib.2020.106059
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Data in Brief. 2020 Oct;32:106059
info:eu-repo/grantAgreement/ES/1PE/CSO2016-79772-P
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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