Measuring the importance of influencing factor for COVID-19 vaccination intention in China
BackgroundVaccination is considered an effective approach to deter the spread of coronavirus disease (COVID-19). However, vaccine hesitancy is a common issue that makes immunization programs more challenging. To promote vaccination in a targeted and efficient way, this study aims to develop and vali...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1191401/full |
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| author | Yue Su Yue Su Sijia Li Jia Xue Jia Xue Ang Li Tingshao Zhu Tingshao Zhu |
| author_facet | Yue Su Yue Su Sijia Li Jia Xue Jia Xue Ang Li Tingshao Zhu Tingshao Zhu |
| author_sort | Yue Su |
| collection | DOAJ |
| description | BackgroundVaccination is considered an effective approach to deter the spread of coronavirus disease (COVID-19). However, vaccine hesitancy is a common issue that makes immunization programs more challenging. To promote vaccination in a targeted and efficient way, this study aims to develop and validate a measurement tool for evaluating the importance of influencing factors related to COVID-19 vaccination intention in China, and to examine the demographic differences.MethodsIn study 1, we developed a Factor Importance Evaluation Questionnaire (FIEQ) based on semi-structured interview results and used exploratory factor analysis (EFA) to explore its factor structure. In study 2, we verified the four-factor structure of FIEQ by confirmatory factor analysis (CFA). We then administered FIEQ to Chinese participants and conducted a student t-test and analysis of variance to examine the differences in the importance evaluation of factors based on gender and educational level.ResultsIn study 1, we developed a four-factor construct and retained 20 items after EFA (N = 577), with acceptable reliability (alpha = 0.87) and validity. In study 2, we found that the model fit was good (χ2 = 748.03 (162), p < 0.001, GFI = 0.949, RMSEA = 0.049, SRMR = 0.048, AGFI = 0.934), and reliability was acceptable (alpha = 0.730) (N = 1,496). No gender difference was found in factor importance. However, individuals with different educational levels reported significantly different importance evaluations of three factors, including perceived benefits and social norms (F = 3.786, p = 0.005), perceived influences from reference groups (F = 17.449, p < 0.001), and perceived risks (F = 2.508, p = 0.04).ConclusionThis study developed and validated FIEQ for measuring the importance of influencing factors related to the COVID-19 vaccination intention in Chinese participants. Moreover, our findings suggest that the educational level may play a role in how individuals evaluate the importance of factors. This study provides insights into the concerns that individuals have regarding vaccination and offers potentially effective and targeted strategies for promoting COVID-19 vaccination. |
| first_indexed | 2024-03-13T02:59:41Z |
| format | Article |
| id | doaj.art-67b6d15630b54a8cbabee58351a04245 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-03-13T02:59:41Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-67b6d15630b54a8cbabee58351a042452023-06-27T15:36:31ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-06-011110.3389/fpubh.2023.11914011191401Measuring the importance of influencing factor for COVID-19 vaccination intention in ChinaYue Su0Yue Su1Sijia Li2Jia Xue3Jia Xue4Ang Li5Tingshao Zhu6Tingshao Zhu7CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, ChinaDepartment of Psychology, University of Chinese Academy of Sciences, Beijing, ChinaDepartment of Social Work and Social Administration, The University of Hong Kong, Pokfulam, Hong Kong SAR, ChinaFactor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, CanadaFaculty of Information, University of Toronto, Toronto, ON, CanadaDepartment of Psychology, Beijing Forestry University, Beijing, ChinaCAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, ChinaDepartment of Psychology, University of Chinese Academy of Sciences, Beijing, ChinaBackgroundVaccination is considered an effective approach to deter the spread of coronavirus disease (COVID-19). However, vaccine hesitancy is a common issue that makes immunization programs more challenging. To promote vaccination in a targeted and efficient way, this study aims to develop and validate a measurement tool for evaluating the importance of influencing factors related to COVID-19 vaccination intention in China, and to examine the demographic differences.MethodsIn study 1, we developed a Factor Importance Evaluation Questionnaire (FIEQ) based on semi-structured interview results and used exploratory factor analysis (EFA) to explore its factor structure. In study 2, we verified the four-factor structure of FIEQ by confirmatory factor analysis (CFA). We then administered FIEQ to Chinese participants and conducted a student t-test and analysis of variance to examine the differences in the importance evaluation of factors based on gender and educational level.ResultsIn study 1, we developed a four-factor construct and retained 20 items after EFA (N = 577), with acceptable reliability (alpha = 0.87) and validity. In study 2, we found that the model fit was good (χ2 = 748.03 (162), p < 0.001, GFI = 0.949, RMSEA = 0.049, SRMR = 0.048, AGFI = 0.934), and reliability was acceptable (alpha = 0.730) (N = 1,496). No gender difference was found in factor importance. However, individuals with different educational levels reported significantly different importance evaluations of three factors, including perceived benefits and social norms (F = 3.786, p = 0.005), perceived influences from reference groups (F = 17.449, p < 0.001), and perceived risks (F = 2.508, p = 0.04).ConclusionThis study developed and validated FIEQ for measuring the importance of influencing factors related to the COVID-19 vaccination intention in Chinese participants. Moreover, our findings suggest that the educational level may play a role in how individuals evaluate the importance of factors. This study provides insights into the concerns that individuals have regarding vaccination and offers potentially effective and targeted strategies for promoting COVID-19 vaccination.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1191401/fullCOVID-19 vaccinevaccine intentionvaccine willingnessinfluencing factorscale developmentvaccine hesitancy |
| spellingShingle | Yue Su Yue Su Sijia Li Jia Xue Jia Xue Ang Li Tingshao Zhu Tingshao Zhu Measuring the importance of influencing factor for COVID-19 vaccination intention in China Frontiers in Public Health COVID-19 vaccine vaccine intention vaccine willingness influencing factor scale development vaccine hesitancy |
| title | Measuring the importance of influencing factor for COVID-19 vaccination intention in China |
| title_full | Measuring the importance of influencing factor for COVID-19 vaccination intention in China |
| title_fullStr | Measuring the importance of influencing factor for COVID-19 vaccination intention in China |
| title_full_unstemmed | Measuring the importance of influencing factor for COVID-19 vaccination intention in China |
| title_short | Measuring the importance of influencing factor for COVID-19 vaccination intention in China |
| title_sort | measuring the importance of influencing factor for covid 19 vaccination intention in china |
| topic | COVID-19 vaccine vaccine intention vaccine willingness influencing factor scale development vaccine hesitancy |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1191401/full |
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