Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S): Evidence of Measurement Invariance Across Five Countries

I. Hua Chen, Pei Ling Wu, Cheng Fang Yen, Irfan Ullah, Sheikh Shoib, Shafi Ullah Zahid, Aadil Bashir, Naved Iqbal, Frimpong Manso Addo, Emma Sethina Adjaottor, Gifty Boakye Amankwaah, Daniel Kwasi Ahorsu, Mark D. Griffiths, Chung Ying Lin, Amir H. Pakpour

研究成果: Article同行評審

22 引文 斯高帕斯(Scopus)

摘要

Purpose: The percentage of individuals who were fully vaccinated against COVID-19 was 53% worldwide, 62% in Asia, and 11% in Africa at the time of writing (February 9, 2022). In addition to administrative issues, vaccine hesitancy is an important factor contributing to the relatively low rate of vaccination. The Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) was developed to assess COVID-19 vaccination acceptance levels. However, it has only been tested among Taiwanese, mainland Chinese, and Ghanaian populations (Chen et al, 2021; Fan et al, 2021; Yeh et al, 2021). Therefore, the present study examined the construct validity and measurement invariance of the MoVac-COVID19S among individuals from five countries (ie, Taiwan, mainland China, India, Ghana, and Afghanistan). Participants and Methods: A cross-sectional survey study recruited 6053 participants across five countries who completed the survey between January and March 2021. Confirmatory factor analysis (CFA) fit indices were used to examine factor structure and measurement invariance across the five countries. Results: The fit indices of the CFA were relatively good across the countries except for the root mean square error of approximation (RMSEA). Moreover, the four-factor structure (either nine or 12 items) had a better fit than the one-factor structure. However, the four-factor model using nine MoVac-COVID19S items was the only model that had measurement invariance support for both factor loadings and item intercepts across the five countries. Conclusion: The present study confirmed that the MoVac-COVID19S has acceptable psychometric properties and can be used to assess an individual’s willingness to get COVID-19 vaccination.

原文English
頁(從 - 到)435-445
頁數11
期刊Risk Management and Healthcare Policy
15
DOIs
出版狀態Published - 2022

All Science Journal Classification (ASJC) codes

  • 健康政策
  • 公共衛生、環境和職業健康

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