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• W3216864574 abstract "To well control the pandemic of COVID-19, herd immunity should be achieved. However, people, especially those with better physical conditions (e.g., young adults), may not accept COVID-19 vaccines. Understanding university students' willingness or reluctance to uptake COVID-19 vaccination is important.This study aimed to examine the psychometric properties of the DrVac-COVID19S, an instrument that helps assess motivations/drivers of COVID-19 vaccination uptake among university students.Using convenience sampling and cross-sectional design, university students (930 from Taiwan [38.0% males] and 1,244 from Ghana [63.3% males]) completed the DrVac-COVID19S using an online survey (Taiwanese students) or paper-and-pen method (Ghanaian students). Rasch analysis was used to examine the psychometric properties of the DrVac-COVID19S.All 12 items in the DrVac-COVID19S had a satisfactory fit in the Rasch models (infit MnSq = 0.74 to 1.49; outfit MnSq = 0.72 to 1.42). Moreover, the seven-point Likert scale used in the DrVac-COVID19S demonstrated monotonically increasing in their difficulties, which indicated the ordered category. Additionally, no differential item functioning was displayed in the DrVacCOVID-19S across Taiwanese and Ghanaian students.The DrVacCOVID-19S has good psychometric features to help healthcare providers assess individuals' (especially university students) motivations or drivers to get the COVID-19 vaccination." @default.
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• W3216864574 date "2021-12-19" @default.
• W3216864574 modified "2023-10-18" @default.
• W3216864574 title "Examining the validity of the drivers of COVID-19 vaccination acceptance scale using Rasch analysis" @default.
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• W3216864574 doi "https://doi.org/10.1080/14760584.2022.2011227" @default.
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