2021
DOI: 10.1080/14760584.2022.2011227
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Examining the validity of the drivers of COVID-19 vaccination acceptance scale using Rasch analysis

Abstract: Background: 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.Aim: 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.Researc… Show more

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Cited by 26 publications
(26 citation statements)
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“…Therefore, when future studies want to compare COVID-19 vaccine acceptance across these countries, the nine-item version of the MoVac-COVID19S is recommended. 29 , 30 , 43 …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, when future studies want to compare COVID-19 vaccine acceptance across these countries, the nine-item version of the MoVac-COVID19S is recommended. 29 , 30 , 43 …”
Section: Discussionmentioning
confidence: 99%
“… 42 Fourth, the MoVac-COVID19S is a self-report scale and therefore other confounding factors such as social desirability bias cannot be controlled in the present study. 43 Finally, the sample sizes were different across the five countries (eg, the Afghan subsample had a much smaller sample size). Therefore, the findings in the present study may be less representative among the Afghan subsample.…”
Section: Discussionmentioning
confidence: 99%
“…The MoVac-COVID19S for Ghanaians was written in English, the official language of Ghanaians. All the recruited participants are natives of their respective countries [10] . All the participants consented to participate by providing a written Informed consent (signing or ticking).…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…More specifically, two types of mean square (MnSq), infit MnSq and outfit MnSq, were applied to examine whether an item fits in its embedded construct. Acceptable infit and outfit MnSq are within the range between 0.5 and 1.5 [ 28 ]. If an item has misfit MnSq (either in infit or outfit MnSq), the item is removed and the EFA and Rasch analysis are reanalyzed until satisfactory Rasch fit statistics are achieved.…”
Section: Methodsmentioning
confidence: 99%