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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Bibliographic Details
Main Authors: Trepanowski Radosław, Drążkowski Dariusz
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340922004309
Description
Summary: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.
ISSN:2352-3409