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Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students
BACKGROUND: COVID-19 continues to ravage the world with economies and life significantly and negatively affected. Fortunately, there has been significant progress in the production of vaccines to stem the infection. However, with controversies and myths surrounding vaccinations, it is timely to exam...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216877/ https://www.ncbi.nlm.nih.gov/pubmed/34217571 http://dx.doi.org/10.1016/j.vaccine.2021.06.044 |
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author | Chen, I-Hua Ahorsu, Daniel Kwasi Ko, Nai-Ying Yen, Cheng-Fang Lin, Chung-Ying Griffiths, Mark D. Pakpour, Amir H. |
author_facet | Chen, I-Hua Ahorsu, Daniel Kwasi Ko, Nai-Ying Yen, Cheng-Fang Lin, Chung-Ying Griffiths, Mark D. Pakpour, Amir H. |
author_sort | Chen, I-Hua |
collection | PubMed |
description | BACKGROUND: COVID-19 continues to ravage the world with economies and life significantly and negatively affected. Fortunately, there has been significant progress in the production of vaccines to stem the infection. However, with controversies and myths surrounding vaccinations, it is timely to examine individuals’ willingness to vaccinate. The present study adapted the Motors of Influenza Vaccination Acceptance Scale (MoVac-Flu Scale) into the Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) for validation and assessed the acceptance of COVID-19 vaccination utilizing the cognitive model of empowerment (CME). METHODS: A total of 3145 university students (mean age = 20.80 years; SD = 2.09) were recruited for the present study between January 5 and 16, 2021. Two MoVac-COVID19S scales (9-item and 12-item) were adapted from the MoVac-Flu Scale, an instrument developed using CME. Psychometric tests were conducted to ascertain reliability and validity properties. RESULTS: The findings indicated that the MoVac-COVID19S had high internal consistency in both the 9-item version (ω = 0.921) and 12-item version (ω = 0.898). The factor structure of the MoVac-COVID19S (9-item and 12-item versions) corresponded well with CME theory. All the fit indices were satisfactory (comparative fit index = 0.984, Tucker-Lewis index = 0.971, root mean square error of approximation = 0.088, standardized root mean square residual = 0.058) but the 9-item MoVac-COVID had better fit indices than the 12-item MoVac-COVID due to the negative wording effects existing in the 12-item MoVac-COVID19S. The scale had satisfactory known-group validity in both 9-item and 12-item versions. CONCLUSIONS: The MoVac-COVID19S has promising psychometric properties based on internal consistency, factor structure, and known-group validity. |
format | Online Article Text |
id | pubmed-8216877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82168772021-06-23 Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students Chen, I-Hua Ahorsu, Daniel Kwasi Ko, Nai-Ying Yen, Cheng-Fang Lin, Chung-Ying Griffiths, Mark D. Pakpour, Amir H. Vaccine Article BACKGROUND: COVID-19 continues to ravage the world with economies and life significantly and negatively affected. Fortunately, there has been significant progress in the production of vaccines to stem the infection. However, with controversies and myths surrounding vaccinations, it is timely to examine individuals’ willingness to vaccinate. The present study adapted the Motors of Influenza Vaccination Acceptance Scale (MoVac-Flu Scale) into the Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) for validation and assessed the acceptance of COVID-19 vaccination utilizing the cognitive model of empowerment (CME). METHODS: A total of 3145 university students (mean age = 20.80 years; SD = 2.09) were recruited for the present study between January 5 and 16, 2021. Two MoVac-COVID19S scales (9-item and 12-item) were adapted from the MoVac-Flu Scale, an instrument developed using CME. Psychometric tests were conducted to ascertain reliability and validity properties. RESULTS: The findings indicated that the MoVac-COVID19S had high internal consistency in both the 9-item version (ω = 0.921) and 12-item version (ω = 0.898). The factor structure of the MoVac-COVID19S (9-item and 12-item versions) corresponded well with CME theory. All the fit indices were satisfactory (comparative fit index = 0.984, Tucker-Lewis index = 0.971, root mean square error of approximation = 0.088, standardized root mean square residual = 0.058) but the 9-item MoVac-COVID had better fit indices than the 12-item MoVac-COVID due to the negative wording effects existing in the 12-item MoVac-COVID19S. The scale had satisfactory known-group validity in both 9-item and 12-item versions. CONCLUSIONS: The MoVac-COVID19S has promising psychometric properties based on internal consistency, factor structure, and known-group validity. Elsevier Ltd. 2021-07-22 2021-06-22 /pmc/articles/PMC8216877/ /pubmed/34217571 http://dx.doi.org/10.1016/j.vaccine.2021.06.044 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Chen, I-Hua Ahorsu, Daniel Kwasi Ko, Nai-Ying Yen, Cheng-Fang Lin, Chung-Ying Griffiths, Mark D. Pakpour, Amir H. Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students |
title | Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students |
title_full | Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students |
title_fullStr | Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students |
title_full_unstemmed | Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students |
title_short | Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students |
title_sort | adapting the motors of influenza vaccination acceptance scale into the motors of covid-19 vaccination acceptance scale: psychometric evaluation among mainland chinese university students |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216877/ https://www.ncbi.nlm.nih.gov/pubmed/34217571 http://dx.doi.org/10.1016/j.vaccine.2021.06.044 |
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