ArticleThe British journal of social psychology2023
How compliance with behavioural measures during the initial phase of a pandemic develops over time: A longitudinal COVID-19 study.
Article in The British journal of social psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Network psychometrics in practice: A practical framework for designing empirical studies that utilize a psychological network approach.Behavior research methods · 2026Article
- Article
- Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom.Journal of the Royal Society, Interface · 2023Article
- Understanding public perceptions toward sustainable healthcare through psychological network analysis of material preference and attitudes toward plastic medical devices.Scientific reports · 2023Article
- How compliance with behavioural measures during the initial phase of a pandemic develops over time: A longitudinal COVID-19 study.The British journal of social psychology · 2023Article
- Satisfaction With Governmental Risk Communication Both Increases and Decreases COVID-19 Mitigation Behaviours.International journal of public health · 2023Article
- Article
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Authors and funding
6 authors.
Funding
Abstract
In this longitudinal research, we adopt a complexity approach to examine the temporal dynamics of variables related to compliance with behavioural measures during the COVID-19 pandemic. Dutch participants (N = 2399) completed surveys with COVID-19-related variables five times over a period of 10 weeks (23 April-30 June 2020). With these data, we estimated within-person COVID-19 attitude networks containing a broad set of psychological variables and their relations. These networks display variables' predictive effects over time between measurements and contemporaneous effects during measurements. Results show (1) bidirectional effects between multiple variables relevant for compliance, forming potential feedback loops, and (2) a positive reinforcing structure between compliance, support for behavioural measures, involvement in the pandemic and vaccination intention. These results can explain why levels of these variables decreased throughout the course of the study. The reinforcing structure points towards potentially amplifying effects of interventions on these variables and might inform processes of polarization. We conclude that adopting a complexity approach might contribute to understanding protective behaviour in the initial phase of pandemics by combining different theoretical models and modelling bidirectional effects between variables. Future research could build upon this research by studying causality with interventions and including additional variables in the networks.
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