ArticlePloS one2022
Tailored interventions into broad attitude networks towards the COVID-19 pandemic.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Network psychometrics in practice: A practical framework for designing empirical studies that utilize a psychological network approach.Behavior research methods · 2026Article
- Risk perception, barriers and working safely at height in construction: a psychological network approach.BMC public health · 2025Article
- Risk perception, barriers, and working safely with silica dust in construction: a psychological network approach.BMC public health · 2025Article
- Understanding public perceptions toward sustainable healthcare through psychological network analysis of material preference and attitudes toward plastic medical devices.Scientific reports · 2023Article
- A psychosocial network approach studying biomedical HIV prevention uptake between 2017 and 2019.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
- Integrating media content analysis, reception analysis, and media effects studies.Frontiers in neuroscience · 2023Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examines how broad attitude networks are affected by tailored interventions aimed at variables selected based on their connectiveness with other variables. We first computed a broad attitude network based on a large-scale cross-sectional COVID-19 survey (N = 6,093). Over a period of approximately 10 weeks, participants were invited five times to complete this survey, with the third and fifth wave including interventions aimed at manipulating specific variables in the broad COVID-19 attitude network. Results suggest that targeted interventions that yield relatively strong effects on variables central to a broad attitude network have downstream effects on connected variables, which can be partially explained by the variables the interventions were aimed at. We conclude that broad attitude network structures can reveal important relations between variables that can help to design new interventions.
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Registered trials
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