Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample

This data article provides descriptive and analytic exploration of the links between anti-immigration policies, ideological and political attitudes and voting in an Italian Sample. More specifically, the data set comprises measures of socio-political dispositions (e.g., Right-Wing Authoritarianism),...

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Detalles Bibliográficos
Autores principales: Pellegrini, Valerio, Leone, Luigi, Giacomantonio, Mauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598835/
https://www.ncbi.nlm.nih.gov/pubmed/31297424
http://dx.doi.org/10.1016/j.dib.2019.104144
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author Pellegrini, Valerio
Leone, Luigi
Giacomantonio, Mauro
author_facet Pellegrini, Valerio
Leone, Luigi
Giacomantonio, Mauro
author_sort Pellegrini, Valerio
collection PubMed
description This data article provides descriptive and analytic exploration of the links between anti-immigration policies, ideological and political attitudes and voting in an Italian Sample. More specifically, the data set comprises measures of socio-political dispositions (e.g., Right-Wing Authoritarianism), social world views (e.g., Dangerous World Beliefs), populist attitudes, self-reported voting in the last Italian political elections (March 4, 2018), and conspiracy beliefs. The sample consists of 774 participants, mostly non-student adult individuals. Participants completed an anonymous questionnaire.
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spelling pubmed-65988352019-07-11 Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample Pellegrini, Valerio Leone, Luigi Giacomantonio, Mauro Data Brief Psychology This data article provides descriptive and analytic exploration of the links between anti-immigration policies, ideological and political attitudes and voting in an Italian Sample. More specifically, the data set comprises measures of socio-political dispositions (e.g., Right-Wing Authoritarianism), social world views (e.g., Dangerous World Beliefs), populist attitudes, self-reported voting in the last Italian political elections (March 4, 2018), and conspiracy beliefs. The sample consists of 774 participants, mostly non-student adult individuals. Participants completed an anonymous questionnaire. Elsevier 2019-06-13 /pmc/articles/PMC6598835/ /pubmed/31297424 http://dx.doi.org/10.1016/j.dib.2019.104144 Text en © 2019 The Authors 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 Psychology
Pellegrini, Valerio
Leone, Luigi
Giacomantonio, Mauro
Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample
title Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample
title_full Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample
title_fullStr Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample
title_full_unstemmed Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample
title_short Dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an Italian sample
title_sort dataset about populist attitudes, social world views, socio-political dispositions, conspiracy beliefs, and anti-immigration attitudes in an italian sample
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598835/
https://www.ncbi.nlm.nih.gov/pubmed/31297424
http://dx.doi.org/10.1016/j.dib.2019.104144
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