CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
Front Public Health. 2023 Jun 27;11:1191401. doi: 10.3389/fpubh.2023.1191401. eCollection 2023.
Vaccination 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.
In 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.
In study 1, we developed a four-factor construct and retained 20 items after EFA ( = 577), with acceptable reliability (alpha = 0.87) and validity. In study 2, we found that the model fit was good (2 = 748.03 (162), < 0.001, GFI = 0.949, RMSEA = 0.049, SRMR = 0.048, AGFI = 0.934), and reliability was acceptable (alpha = 0.730) ( = 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 ( = 3.786, = 0.005), perceived influences from reference groups ( = 17.449, < 0.001), and perceived risks ( = 2.508, = 0.04).
This 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.
接种疫苗被认为是阻止冠状病毒病(COVID-19)传播的有效方法。然而,疫苗犹豫是一个常见的问题,这使得免疫计划更加具有挑战性。为了以有针对性和有效的方式促进疫苗接种,本研究旨在开发和验证一种测量工具,用于评估与中国 COVID-19 疫苗接种意愿相关的影响因素的重要性,并检验人口统计学差异。
在研究 1 中,我们根据半结构化访谈结果制定了一个因素重要性评估问卷(FIEQ),并使用探索性因子分析(EFA)来探索其因子结构。在研究 2 中,我们通过验证性因子分析(CFA)验证了 FIEQ 的四因子结构。然后,我们对中国参与者进行了 FIEQ 调查,并进行了学生 t 检验和方差分析,以检验基于性别和教育水平的因素重要性评估的差异。
在研究 1 中,我们开发了一个四因素结构,在 EFA 后保留了 20 个项目(n=577),具有可接受的信度(alpha=0.87)和效度。在研究 2 中,我们发现模型拟合良好(χ²=748.03(162),p<0.001,GFI=0.949,RMSEA=0.049,SRMR=0.048,AGFI=0.934),信度可接受(alpha=0.730)(n=1496)。在因素重要性方面没有发现性别差异。然而,不同教育水平的个体对三个因素的重要性评估有显著差异,包括感知收益和社会规范(t=3.786,p=0.005)、来自参考群体的感知影响(t=17.449,p<0.001)和感知风险(t=2.508,p=0.04)。
本研究开发并验证了 FIEQ,用于测量中国参与者中与 COVID-19 疫苗接种意愿相关的影响因素的重要性。此外,我们的研究结果表明,教育水平可能在个体评估因素重要性方面发挥作用。本研究深入了解了个体对疫苗接种的关注,并提供了潜在有效的、有针对性的策略来促进 COVID-19 疫苗接种。