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Addressing the challenges in collecting online written accounts : a longitudinal study of experiences of outdoor spaces during and after lockdown / Vivien Burr, Nigel King, Victoria Gall, and two others.
- Format:
- Book
- Author/Creator:
- Burr, Vivien, author.
- King, Nigel, Active 2022- author.
- Gall, Victoria, Active 2022- author.
- Rooke, Clementinah, author.
- Eastburn, Sara, author.
- Series:
- SAGE research methods: doing research online.
- SAGE research methods: doing research online
- Language:
- English
- Subjects (All):
- Longitudinal method--Case studies.
- Longitudinal method.
- Internet research--Case studies.
- Internet research.
- COVID-19 Pandemic, 2020-2023--Influence.
- COVID-19 Pandemic, 2020-2023.
- Physical Description:
- 1 online resource.
- Place of Publication:
- London : SAGE Publications, Ltd., 2022.
- Summary:
- The value of longitudinal designs in qualitative research is increasingly being recognized, though practical guidance in relation to them remains limited. In this case study, we describe an ongoing longitudinal project examining the meanings held about outdoor spaces in the context of the COVID-19 pandemic. There is a large and growing literature on how contact and connection with the natural world affect people, but this is predominantly quantitative and concerned with well-being and functional outcomes, rather than meaning-making processes. The research this case study reflects upon used a mixture of data collection methods, mostly qualitative, and we focus here specifically on the use of written narrative "sketches" to explore personal meaning-making in relation to outdoor spaces. We describe the main challenges we have faced in relation to sampling and recruitment, participant engagement and retention, data management, and research team coordination. We discuss the ways we sought to address these challenges, the extent to which these were successful, and draw lessons for those wishing to use similar longitudinal qualitative designs in their own research.
- Notes:
- Description based on XML content.
- ISBN:
- 9781529603965 :
- OCLC:
- 1301365383
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