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Behind the kitchen door: A novel mixed method approach for exploring the food provisioning practices of the older consumer
Affiliation:1. Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States;2. Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States;3. Division of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden;4. Department of Premedical Studies, University of Vermont, Burlington, VT, United States
Abstract:Social Practice Theory offers a theoretical approach to understanding habitual, mundane and tacitly enacted practices that are performed within the domestic environment. To support the practical adoption of this theory, this paper reports and reflects upon a methodological application of Social Practice Theory which was used to investigate the domestic kitchen-based practices of older adults (aged 60+) in order to understand the role of food safety within the everyday performance of these. Social Practice Theory requires a research design that situates data generation techniques into the ‘space’ in which the practices are performed and gives equal investigative consideration to the physical and social spheres of practices. We demonstrate that these methodological principles necessitate the use of mixed methods, and this case study presents a ‘tool-kit’ of data generation techniques that produced visual, verbal, textual, technical and scientific data. Through the presentation of results at the level of the individual household, the case study demonstrates how the different data streams acted as analytical lenses which facilitated data corroboration and comparison, and provided the basis for a grounded conceptual elaboration of domestically situated food provisioning and handling practices and the role of food safety within these.
Keywords:Social Practice Theory  Domestic kitchen practices  Older consumers  Mixed-methods  Observation  Visual methods  Activity recognition
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