Previous studies mainly focused on individual-level factors that influence the adoption and usage of mobile technology and social networking sites, with little emphasis paid to the influences of household situations. Using multilevel modelling approach, this study merges household- (n1 = 1,455) and individual-level (n2 = 2,570) data in the U.K.
View Article and Find Full Text PDFBackground: Debate is ongoing about mandating COVID-19 vaccination to maximise uptake. Policymakers must consider whether to mandate, for how long, and in which contexts, taking into account not only legal and ethical questions but also public opinion. Implementing mandates among populations who oppose them could be counterproductive.
View Article and Find Full Text PDFFront-of-pack labels (FOPLs) provide simplified nutritional information that aims to inform consumer choice and encourage reformulation. We conducted an online randomised controlled experiment on a representative British sample to test the effectiveness of FOPLs across a range of outcomes. The primary outcomes have been published; here, we present the secondary outcomes: the ability to rank the healthiest product and the time to complete the rankings by comparing the FOPL groups and a no-label control, as well as a descriptive analysis of the perceptions.
View Article and Find Full Text PDFObjectives: To examine public views on COVID-19 vaccination and consider the implications for communications and targeted support.
Design: Cross-sectional study.
Setting: Online and telephone nationally representative survey in Great Britain, January to February 2021.
Front of pack food labels (FOPLs) provide accessible nutritional information to guide consumer choice. Using an online experiment with a large representative British sample, we aimed to examine whether FOPLs improve participants' ability to identify the healthiness of foods and drinks. The primary aim was to compare ability to rank between FOPL groups and a no label control.
View Article and Find Full Text PDFJ Empir Res Hum Res Ethics
June 2021
Linked survey and Twitter data present an unprecedented opportunity for social scientific analysis, but the ethical implications for such work are complex-requiring a deeper understanding of the nature and composition of Twitter data to fully appreciate the risks of disclosure and harm to participants. In this article, we draw on our experience of three recent linked data studies, briefly discussing the background research on data linkage and the complications around ensuring informed consent. Particular attention is paid to the vast array of data available from Twitter and in what manner it might be disclosive.
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