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Crafting Tempo and Timeframes in Qualitative Longitudinal Research: Case Studies From Health Research
Qualitative Longitudinal Research (QLR) is a dynamic and evolving methodology using time as a lens to inform study design, data collection and analysis. A key feature of QLR is the collection of data on more than one occasion, often described as waves or time points. Thus, researchers embarking on d...
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Published in: | International journal of qualitative methods 2024-07, Vol.23 |
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container_title | International journal of qualitative methods |
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creator | Wanat, Marta Weller, Susie Borek, Aleksandra J. Newhouse, Nikki McNiven, Abi |
description | Qualitative Longitudinal Research (QLR) is a dynamic and evolving methodology using time as a lens to inform study design, data collection and analysis. A key feature of QLR is the collection of data on more than one occasion, often described as waves or time points. Thus, researchers embarking on designing a new study need to consider several key features including the study duration (timeframe) and the frequency and intensity of data collection (tempo). Yet, how to embed these features in practice is not well described. Leveraging the intensive-extensive temporal plane of time, we explore research approaches employing both shorter and longer timeframes, as well as intensive and extensive tempos. Drawing on six studies that we have conducted, we discuss four pivotal aspects including: (i) crafting intensive-extensive tempo and timeframes; (ii) defining baseline and closure points; (iii) planning for flexibility; and (iv) working ethically within a temporal lens. By examining and critically analysing these case studies through the lens of the intensive-extensive plane of time, this article aspires to offer insights for researchers interested in using the QLR design in healthcare. We thus aim to prepare researchers for embedding these features during the research process. |
doi_str_mv | 10.1177/16094069241270399 |
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title | Crafting Tempo and Timeframes in Qualitative Longitudinal Research: Case Studies From Health Research |
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