Dataset on a reliability generalization meta-analysis of the Oxford COVID-19 vaccine hesitancy scale.
Autor: | Kura KM; Faculty of Business and Logistics, Bahrain Polytechnic, Kingdom of Bahrain., Abubakar RA; ABU Distance Learning Center, Ahmadu Bello University Zaria, Nigeria. |
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Jazyk: | angličtina |
Zdroj: | Data in brief [Data Brief] 2024 Apr 27; Vol. 54, pp. 110451. Date of Electronic Publication: 2024 Apr 27 (Print Publication: 2024). |
DOI: | 10.1016/j.dib.2024.110451 |
Abstrakt: | The Oxford COVID-19 Vaccine Hesitancy Scale is a 7-item psychometric scale developed by Freeman and colleagues a year after detecting the first case of the disease in 2019. The scale assesses people's thoughts, feelings, and behavior toward COVID-19 vaccines. A comprehensive search of major electronic databases, including Scopus, Clarivate Analytics, and PubMed, was conducted to extract eligible articles for inclusion in this meta-analysis. This paper reports information on data collected for a reliability generalization meta-analysis of the Oxford COVID-19 Vaccine Hesitancy Scale. The dataset incorporates information on the average reliability of the scale as measured with Cronbach's alpha in 20 studies included in the meta-analysis. Several benefits can be derived from the dataset. In particular, the research community would find this dataset beneficial as it can enhance their understanding of the health challenges of COVID-19, helping them come up with better solutions to eradicate the disease. (© 2024 The Authors.) |
Databáze: | MEDLINE |
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