Examining the validity of the drivers of COVID-19 vaccination acceptance scale using Rasch analysis

Chia-Wei FAN, Jung-Sheng CHEN, Frimpong-Manso ADDO, Emma Sethina ADJAOTTOR, Gifty Boakye AMANKWAAH, Cheng-Fang YEN, Daniel Kwasi AHORSU, Chung-Ying LIN

Research output: Contribution to journalArticlespeer-review

26 Citations (Scopus)

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. 

Research Design and Methods: 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. 

Results: 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. 

Conclusions: 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. Copyright © 2021 Informa UK Limited, trading as Taylor & Francis Group.

Original languageEnglish
Pages (from-to)253-260
JournalExpert Review of Vaccines
Volume21
Issue number2
Early online dateDec 2021
DOIs
Publication statusPublished - 2022

Citation

Fan, C.-W., Chen, J.-S., Addo, F.-M., Adjaottor, E. S., Amankwaah, G. B., Yen, C.-F., . . . Lin, C.-Y. (2022). Examining the validity of the drivers of COVID-19 vaccination acceptance scale using Rasch analysis. Expert Review of Vaccines, 21(2), 253-260. doi: 10.1080/14760584.2022.2011227

Keywords

  • COVID-19
  • Rasch
  • Psychometric testing
  • Vaccine hesitancy
  • Vaccination uptake

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