Using The Causal Attitude Network Model to analyze the factors affecting public attitude and acceptance of COVID-19 and vaccination in Indonesia
,
Abstract
Introduction: Attitudes about COVID-19 relate to cognitions, feelings, and behaviors regarding the pandemic and vaccination, as well as other factors, such as demographic characteristics, and health-related information. This research uses the Causal Attitude Network (CAN) model to measure attitudes and acceptance of COVID-19 vaccination among 1385 Indonesian people from 15 cities.
Methods: Data was obtained from instruments that made in the Netherlands and adapted to Indonesian language and culture. This research integrates psychometrics with network analysis which is an advanced implementation of the field of Statistics to reveal the interaction between psychological factors that shape people's attitudes towards COVID-19 and vaccination in Indonesia. Data analysis used JASP, an open source statistical analysis software.
Results: From this research, it was found that attitude elements regarding trust in vaccine development and awareness of the importance of vaccines in Indonesian society have a high influence on other attitude elements. Attitude elements regarding the habit of wearing masks and awareness about the importance of the COVID-19 vaccine are the attitude elements that have the highest impact on changing other attitude elements,
Conclusion: Two attitude elements, namely trust and awareness, are the attitude elements that most influence other attitude elements. Trust in the development of the COVID-19 vaccine is related to trust in the experts in developing the COVID-19 vaccine. In other words, increasing public confidence in the development of a science-appropriate COVID-19 vaccine will be in line with increasing public trust in COVID-19 vaccine developers, and vice versa.
2. Dalege, J., Borsboom, D., van Harreveld, F., van den Berg, H., Conner, M., & van der Maas, H. L. (2016). Toward a formalized account of attitudes: The Causal Attitude Network (CAN) model. Psychological Review, 123(1), pp. 2-22. ISSN 0033-295X
3. Paul, E., Steptoe, A., & Fancourt, D. (2021). Attitudes towards vaccines and intention to vaccinate against COVID-19: Implications for public health communications. The Lancet Regional Health-Europe, 1, 100012
4. Sherman, S. M., Smith, L., Sim, J., Amlôt, R., Cutts, M., Dasch, H., ... & Sevdalis, N. (2020). COVID-19 vaccination intention in the UK: Results from the COVID-19 Vaccination Acceptability Study (CoVAccS), a nationally representative cross-sectional survei. Human Vaccines and Immunotherapeutics, 1-10.
5. Chou, W. Y. S., & Budenz, A. (2020). Considering Emotion in COVID-19 vaccine communication: addressing vaccine hesitancy and fostering vaccine confidence. Health communication, 35(14), 1718-1722.
6. Chambon, M., Dalege, J., Elberse, J., & van Harreveld, F. (2020). A psychological network approach to factors related to preventive behaviors during pandemics: A European COVID-19 study. Preprint article.
7. Mair, P. (2018). Modern psychometrics with R. Springer International Publishing.
8. Tavakol, S., Dennick, R. and Tavakol, M. (2011). Psychometric properties and confirmatory factor analysis of the Jefferson Scale of Physician Emphaty. BMC Medical Education 11, 54.
9. Wilson, J.D., Denny, M.J., Bhamidi, S., Cranmer, S.J., & Desmarais, B.A. (2017). Stochastic weighted graphs: Flexible model specification and simulation. Social Networks 49, p 37-47
10. van der Maas, H. L., Dalege, J., Waldorp, L., & Moreno, Y. (2020). The polarization within and across individuals: the hierarchical Ising opinion model. Journal of Complex Networks, 8(1), 1-23.
11. Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. (2018). The Attitudinal Entropy (AE) Framework is a general theory of individual attitudes. Psychological Inquiry, 29(4), 175-193.
12. Dalege, J. (2020). A formal approach to attitude (Doctoral dissertation, Universiteit van Amsterdam).
13. Schiffman, L. G. and Kanuk, L. L. (2004). Consumer Behaviour. 8th Edition. New Jersey: Prentice Hall, Inc.
14. Rahayuningsih, S.U. (2008). Sikap (Attitude) (online) http://www.Attitude,blogspot.com.
15. Azwar, S. (2010). Sikap manusia teori dan pengukurannya. Edisi 2, cetakan 11, Pustaka Pelajar, 2010, ISBN: 979-8581-59-8.
16. Shapiro, G. K., Holding, A., Perez, S., Amsel, R., & Rosberger, Z. (2016). Validation of the vaccine conspiracy beliefs scale. Papillomavirus Research, 2, 167-172.
17. Shapiro, G. K., Tatar, O., Dube, E., Amsel, R., Knauper, B., Naz, A., Perez, S. & Rosberger, Z. (2018). The vaccine hesitancy scale: Psychometric properties and validation. Vaccine, 36(5), 660-667. DOI: 10.1016/j.vaccine.2017.12.043
18. Gilkey, M. B., Magnus, B. E., Reiter, P. L., McRee, A. L., Dempsey, A. F., & Brewer, N. T. (2014). The Vaccination Confidence Scale: a brief measure of parents’ vaccination beliefs. Vaccine, 32(47), 6259-6265.
19. Meiza, A. & Hanifah, F.S. (2021). Analisis Fenomena Hijrah Kalangan Milenial menggunakan Big Data dan Network Analysis. Article unpublished
www.pupensos.kemensos.go.id,
www.jasp-stats.org
| Files | ||
| Issue | Vol 10 No 3 (2024) | |
| Section | Articles | |
| Keywords | ||
| causal attitude network; network analysis; attitude elements; COVID-19 pandemic; vaccination | ||
| Rights and permissions | |
|
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
