key: cord-0872623-b5lyb2ka
authors: Ahorsu, Daniel Kwasi; Lin, Chung-Ying; Chen, I-Hua; Ullah, Irfan; Shoib, Sheikh; Zahid, Shafi Ullah; Adjaottor, Emma Sethina; Addo, Frimpong-Manso; Pakpour, Amir H
title: The psychometric properties of Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S): A dataset across five regions
date: 2022-03-27
journal: Data Brief
DOI: 10.1016/j.dib.2022.108103
sha: 7ccfcc0427e5a8ab700ca64730c5d50ca468c3c7
doc_id: 872623
cord_uid: b5lyb2ka

The novel coronavirus disease 2019 (COVID-19) continues to plague the world. Hence, there is been an effort to mitigate this virus and its effects with several means including vaccination which is one of the most effective ways of controlling the virus. However, efforts at getting people to vaccinate have met several challenges. To help with understanding the reasons underlying an individual's willingness to take COVID-19 vaccine or not, a scale called Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) was developed. To expand its usability worldwide (as it has currently been limited to only China and Taiwan), data were collected in other countries (regions) too. Therefore, this MoVac-COVID19S data is from five countries (that is, India, Ghana, Afghanistan, Taiwan, and mainland China) which cut across five regions. A total of 6053 participants across the stated countries completed the survey between January and March 2021 using a cross-sectional survey design. The different sections of the survey solicited sociodemographic information (e.g., country, age, gender, educational level, and profession) and the MoVac-COVID19S data from the participants. The data collected from this survey were analyzed using descriptive statistics, which were carried out using the IBM SPSS version 22.0.

Health and medical sciences

Public Health and Health Policy

How the data were acquired

Data were collected using survey (paper-and-pencil or online) method where participants completed the form. A copy of the survey is included as a Supplementary File.

Raw, Analyzed

A total of 6053 adult participants across five countries (India, Ghana, Afghanistan, Taiwan, and mainland China) completed the survey between January and March 2021 using a cross-sectional survey design. The sections of the survey solicited sociodemographic information (e.g., country, age, gender, educational level, and profession) and the MoVac-COVID19S (also named as DrVac-COVID19S) data from the participants. Value of the data  This data is useful as it comprises data from a largescale survey across five regions/countries worldwide on COVID-19 vaccination acceptance. Hence, the data can always be used to verify the psychometric properties of the MoVac-COVID19S (COVID-19 vaccination acceptance scale; also named as DrVac-COVID19S) and its suitability for use worldwide.  The data can be beneficial to the following group of persons: Researchers who are interested in communicable disease, psychometrics, health promotion, health psychology, public health, epidemiology, and health behavior as the findings from this dataset will serve as the basis for assessing citizens' willingness to take COVID-19 vaccination.  The data may be useful for researchers who want to replicate or extend the psychometric properties (especially, measurement invariance) of the MoVac-COVID19S by adding their country's data to this data.

The challenges posed by COVID-19 continues unabated [1] [2] [3] [4] [5] [6] [7] [8] [9] . One of the most efficient ways of controlling this pandemic is by vaccination. However, the vaccination drive has met lots of challenges. The Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S; also named as Drivers of COVID-19 Vaccination Acceptance Scale [DrVac-COVID19S]) was, therefore, developed to help with understanding the reasons underlying an individual's willingness to take COVID-19 vaccine or not. To expand its usability worldwide (as it has currently been limited to only China and Taiwan), data were collected in other countries (regions) too. Therefore, the MoVac-COVID19S data is from five countries (that is, India, Ghana, Afghanistan, Taiwan, and mainland China) which cut across five regions. A total of 6053 participants across the above-stated countries completed the survey between January and March 2021 using a cross-sectional survey design. The sections of the survey solicited sociodemographic information (e.g., country, age, gender, educational level, and profession) and the MoVac-COVID19S data from the participants (please find the questionnaire in the supplementary material). Table 1 shows the sociodemographic characteristics of the participants while Table 2 shows the distributions of responses related to the items of the MoVac-COVID19S. For the demographic characteristics, the codes used were 0 and 1 for gender (females and males respectively), 1, 2, and 3 for educational levels (others, undergraduate, and postgraduate respectively), and 0 and 1 for profession (not health related and health related respectively). For the MoVac-COVID19S, the codes 1, 2, 3, 4, 5, 6, 7 were used to represent Strongly Disagree, Disagree, Slightly Disagree, Neither Disagree nor Agree, Slightly Agree, Agree, and Strongly Agree respectively. For group (countries), 1, 2, 3, 4, and 5 were used as codes for Taiwan, mainland China, India, Ghana, and Afghanistan respectively.

The data was collected using a survey with a cross-sectional design. The Taiwanese participants were recruited using snowballing method via the posts on social media pages and social networking apps. A total of 932 questionnaires were collected between January 5 and February 5, 2021. The MoVac-COVID19S for the Taiwanese was written in traditional Chinese, Taiwan's official language. Similarly, snowballing method (posts on social media pages and social networking apps (e.g., WeChat)) were used to recruit Mainland Chinese participants. A total of 3145 questionnaires were collected between January 5 and January 16, 2021. The MoVac-COVID19S for mainland Chinese was written in simplified Chinese, mainland China's official language. Also, snowballing method (posts on social media pages and social networking apps (e.g., Facebook and Whatsapp)) were used to recruit Indian participants. A total of 508 questionnaires were collected between July 25 and October 5, 2021. The MoVac-COVID19S for the Indians was written in English, the official language of Indian universities. The snowballing method (sharing the survey link in various Afghanistan healthcare workers' groups (e.g., Fan page in the Facebook)) was also used to recruit Afghan participants. A total of 224 questionnaires were collected between April 1 and July 31, 2021. The MoVac-COVID19S used for the Afghans was written in English. Among the Ghanaian participants, a convenient sampling strategy was used to recruit the participants. A total of 1,244 questionnaires between January 25 and March 12, 2021. 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). The data were analyzed using descriptive statistics (specifically, Mean and Standard Deviation, and frequency with percentage) using the IBM SPSS 22.0. The MoVac-COVID19S was developed from an original MoVac-Flu Scale by changing the word from "flu" to "COVID-19" to derive the current form of MoVac-COVID19S with the kind permission of MoVac-Flu Scale's developer, Professor Vallée-Tourangeau [11, 12] . Hence, the cognitive model of empowerment (CME) that formed the basis of the MoVac-Flu Scale remains unchanged under the MoVac-COVID19S [13] . The MoVac-COVID19S, therefore, is made up of 12 items; nine positively worded items and three negatively worded items. It must be noted that previous evidence indicated that the MoVac-COVID19S has wording effects that should be taken into account when testing its factor structure [11, 14] . The items of MoVac-COVID19S are rated on a 7-point Likert scale response format (from Strongly disagree =1 to Strongly agree =7). The participant's responses are summed together to get a total score after aligning the directions of the positively and negatively worded items. Hence, the higher the total score (including the entire instrument and the four domains), the higher the levels of acceptance to get COVID-19 vaccinated. Both the 9-item version (ω = 0.921) and the 12-item version (ω = 0.898) have high internal consistency.

The data was collected in conformity with the Helsinki declaration (1975) 

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Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.