Designing a multinational smartphone app survey during COVID-19 : rewards, risks and recommendations
Davidson, Jennifer C. and Karadzhov, Dimitar and Wilson, Graham (2024) Designing a multinational smartphone app survey during COVID-19 : rewards, risks and recommendations. Field Methods, 36 (4). pp. 328-342. (https://doi.org/10.1177/1525822X231218192)
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Abstract
Cost-effective and user-friendly, mobile phone-assisted methods have remained underutilized in qualitative social science research. The scarce methodological guidance, together with recruitment and ethical challenges, has arguably stifled advancements in this area. COVID-19 exposed the need to better equip researchers with the expertise and tools to conduct remote research effectively. In 2020, we designed and launched a smartphone survey application to collect real-time data from children’s sector professionals across the globe regarding best practices in, and challenges to, responding to the pandemic. In this short article, we reflect on the efficiency, quality, and acceptability afforded by the smartphone app survey, and outline recommendations for enhancing rigor and feasibility. We also present data snippets illustrating the positive impact of participation on respondents—a seldom-documented aspect of app-based research. Altogether, we advocate a flexible, pragmatic, and user-centered study and app design that aligns with respondents’ specific, situational needs, and preferences.
ORCID iDs
Davidson, Jennifer C. ORCID: https://orcid.org/0000-0002-8404-9033, Karadzhov, Dimitar and Wilson, Graham ORCID: https://orcid.org/0000-0003-2664-1634;-
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Item type: Article ID code: 87225 Dates: DateEvent1 November 2024Published8 January 2024Published Online7 November 2023AcceptedSubjects: Geography. Anthropology. Recreation > Anthropology
Social Sciences > Social pathology. Social and public welfareDepartment: ?? 15301 ??
Faculty of Humanities and Social Sciences (HaSS) > Social Work and Social Policy
Faculty of Humanities and Social Sciences (HaSS) > Social Work and Social Policy > Social Work and Social Policy
Faculty of Science > Computer and Information SciencesDepositing user: Pure Administrator Date deposited: 08 Nov 2023 10:36 Last modified: 03 Jan 2025 12:59 URI: https://strathprints.strath.ac.uk/id/eprint/87225