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

• Published in: Risk management and healthcare policy Vol. 15; pp. 435 - 445
• Main Authors: Chen, I-Hua, Wu, Pei-Ling, Yen, Cheng-Fang, Ullah, Irfan, Shoib, Sheikh, Zahid, Shafi Ullah, Bashir, Aadil, Iqbal, Naved, Addo, Frimpong-Manso, Adjaottor, Emma Sethina, Amankwaah, Gifty Boakye, Ahorsu, Daniel Kwasi, Griffiths, Mark D, Lin, Chung-Ying, Pakpour, Amir H
• Format: Journal Article
• Language: English
• Published: England Dove Medical Press Limited 01-01-2022; Dove; Dove Medical Press
• Subjects: Analysis; factor structure; Measurement; Original Research; Social networks; Vaccination; vaccine hesitancy; young adults; Afghanistan; Ghana; China; Taiwan; India; vaccine hesitancy; factor structure; young adults
• ISSN: 1179-1594; 1179-1594
• DOI: 10.2147/RMHP.S351794

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).
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.
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.
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.