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Data on COVID-19 vaccination intention and its predictors in Poland

With Coronavirus disease 2019 (COVID-19) continuous spread there is a great need for understanding factors leading to vaccination in order to effectively encourage people to take the vaccine. The current dataset consists of a number of variables potentially explaining vaccination intention, that is:...

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Detalles Bibliográficos
Autores principales: Radosław, Trepanowski, Dariusz, Drążkowski
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052706/
https://www.ncbi.nlm.nih.gov/pubmed/35530365
http://dx.doi.org/10.1016/j.dib.2022.108227
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author Radosław, Trepanowski
Dariusz, Drążkowski
author_facet Radosław, Trepanowski
Dariusz, Drążkowski
author_sort Radosław, Trepanowski
collection PubMed
description With Coronavirus disease 2019 (COVID-19) continuous spread there is a great need for understanding factors leading to vaccination in order to effectively encourage people to take the vaccine. The current dataset consists of a number of variables potentially explaining vaccination intention, that is: perceived disease severity, trait-reactance, demographics and variables associated with The Theory of Planned Behavior (attitudes toward vaccination, importance of social and moral norms when considering vaccination, perceived behavioral control). The sample consists of 551 self-reports, based on the demographic (gender and age) structure of 18–70+ year-olds in Poland. This data might be used for further exploration of the relationships between trait reactance and COVID-19 vaccination intention, as well as for cross-cultural comparisons. In the original paper, the authors have conducted a series of factor analyses, regressions, correlations and developed a structural model.
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spelling pubmed-90527062022-05-02 Data on COVID-19 vaccination intention and its predictors in Poland Radosław, Trepanowski Dariusz, Drążkowski Data Brief Data Article With Coronavirus disease 2019 (COVID-19) continuous spread there is a great need for understanding factors leading to vaccination in order to effectively encourage people to take the vaccine. The current dataset consists of a number of variables potentially explaining vaccination intention, that is: perceived disease severity, trait-reactance, demographics and variables associated with The Theory of Planned Behavior (attitudes toward vaccination, importance of social and moral norms when considering vaccination, perceived behavioral control). The sample consists of 551 self-reports, based on the demographic (gender and age) structure of 18–70+ year-olds in Poland. This data might be used for further exploration of the relationships between trait reactance and COVID-19 vaccination intention, as well as for cross-cultural comparisons. In the original paper, the authors have conducted a series of factor analyses, regressions, correlations and developed a structural model. Elsevier 2022-04-29 /pmc/articles/PMC9052706/ /pubmed/35530365 http://dx.doi.org/10.1016/j.dib.2022.108227 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Radosław, Trepanowski
Dariusz, Drążkowski
Data on COVID-19 vaccination intention and its predictors in Poland
title Data on COVID-19 vaccination intention and its predictors in Poland
title_full Data on COVID-19 vaccination intention and its predictors in Poland
title_fullStr Data on COVID-19 vaccination intention and its predictors in Poland
title_full_unstemmed Data on COVID-19 vaccination intention and its predictors in Poland
title_short Data on COVID-19 vaccination intention and its predictors in Poland
title_sort data on covid-19 vaccination intention and its predictors in poland
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052706/
https://www.ncbi.nlm.nih.gov/pubmed/35530365
http://dx.doi.org/10.1016/j.dib.2022.108227
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