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Measurement invariance of the Drivers of COVID-19 Vaccination Acceptance Scale: Comparison between Taiwanese and Mainland Chinese-speaking populations

  • Ya-Chin YEH
  • , I.-Hua CHEN
  • , Daniel Kwasi AHORSU
  • , Nai-Ying KO
  • , Kuan-Lin CHEN
  • , Ping-Chia LI
  • , Cheng-Fang YEN
  • , Chung-Ying LIN
  • , Mark D. GRIFFITHS
  • , Amir H. PAKPOUR

Research output: Contribution to journalArticlespeer-review

Abstract

The impacts of novel coronavirus disease-2019 (COVID-19) on human life continue to be serious. To control the spread of COVID-19, the production of effective vaccines is likely to be one of the best solutions. However, vaccination hesitancy may decrease individuals’ willingness to get vaccinated. The Drivers of COVID-19 Vaccination Acceptance Scale (DrVac-COVID19S) was recently developed to help healthcare professionals and researchers better understand vaccination acceptance. The present study examined whether DrVac-COVID19S is measurement invariant across different subgroups (Taiwanese vs. mainland Chinese university students; males vs. females; and health-related program majors vs. non-health-related program majors). Taiwanese (n = 761; mean age = 25.51 years; standard deviation (SD) = 6.42; 63.5% females) and mainland Chinese university students (n = 3145; mean age = 20.72 years; SD = 2.06; 50.2% females) were recruited using an online survey between 5 January and 21 February 2021. Factor structure and measurement invariance of the two DrVac-COVID19S scales (nine-item and 12-item) were tested using confirmatory factor analysis (CFA). The findings indicated that the DrVac-COVID19S had a four-factor structure and was measurement invariant across the subgroups. The DrVac-COVID19S’s four-factor structure was supported by the CFA results is a practical and valid instrument to quickly capture university students’ willingness to get COVID-19 vaccination. Moreover, the DrVac-COVID19S can be used to compare university students’ underlying reasons to get COVID-19 vaccination among different subgroups. Copyright © 2021 by the authors.

Original languageEnglish
Article number297
JournalVaccines
Volume9
Issue number3
DOIs
Publication statusPublished - Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Confirmatory factor analysis
  • COVID-19
  • Measurement invariance
  • Vaccine
  • University students
  • Drivers of COVID-19 Vaccination Acceptance Scale

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