- Title
- Psychometric properties of the motors of COVID-19 vaccination acceptance scale in New Zealand: Insights from confirmatory factor analysis
- Creator
- Adu, Peter; Popoola, Tosin; Collings, Sunny; Aspin, Clive; Medvedev, Oleg N.; Simpson, Colin R.
- Relation
- Current Psychology Vol. 43, p. 26628-26638
- Publisher Link
- http://dx.doi.org/10.1007/s12144-024-05877-x
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2024
- Description
- High vaccination coverage plays an essential role in curbing epidemics and pandemics, making it important to have a country-specific valid and standardised instruments for assessing vaccination attitudes. This study aimed to assess the psychometric properties of the Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) in New Zealand. A total of 413 participants completed an online survey in June and July 2022, which included the MoVac-COVID19S questions, demographic factors, and a single-item measure of COVID-19 vaccination willingness. Confirmatory Factor Analysis (CFA) was used to examine the factor structures of the scale. Results indicated that the one-factor structure of the 9-item version best fitted the data compared to the one and four factor structures of the 12-item version, which showed acceptable fit indices after model modifications. All estimated fit indices were acceptable: CFI, GFI, and TLI > 0.95, RMSEA and SRMR < 0.08. The full scales of the MoVac-COVID19S demonstrated excellent reliability for both the 12-item (α = 0.91; ω = 0.91) and the 9-item (α = 0.94; ω = 0.95) versions. The bifactor model indicated a strong general factor, explaining 60–90% of the Explained Common Variance (ECV) for most items, surpassing specific factors. The MoVac-COVID19S is a reliable and valid scale to measure COVID-19 vaccination attitudes. The 9-item version appeared as the best choice for a unidimensional assessment. Future vaccination programmes can benefit from an adapted version of the MoVac-COVID19S to assess public attitudes towards new vaccines. Further psychometric assessment, including Rasch analysis, is recommended to strengthen the reliability and validity of the MoVac-COVID19S.
- Subject
- reliability; validity; COVID-19; psychometric; validation; vaccine
- Identifier
- http://hdl.handle.net/1959.13/1511911
- Identifier
- uon:56563
- Identifier
- ISSN:1046-1310
- Rights
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Language
- eng
- Full Text
- Reviewed
- Hits: 303
- Visitors: 314
- Downloads: 11
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Publisher version (open access) | 1 MB | Adobe Acrobat PDF | View Details Download |