Qualitative Longitudinal Methodologies for Crisis Times: Against Crisis Exceptionalism and ‘Helicopter’ Research
Brickell, K., Lawreniuk, S. & McCarthy, L. ORCID: 0000-0001-6299-4651 (2024). Qualitative Longitudinal Methodologies for Crisis Times: Against Crisis Exceptionalism and ‘Helicopter’ Research. Area, 56(1), article number e12924. doi: 10.1111/area.12924
Abstract
In this introduction to the collection of papers ‘Qualitative Longitudinal Methodologies for Crisis Times’, we argue that two main characteristics or ‘qualities’ of qualitative longitudinal methodologies (QLMs) can be identified for researching crisis. The first is that QLMs can function to repudiate crisis exceptionalism. The papers denounce the discrete and time-limited, instead impressing the ongoingness of crisis from the past, the present, and into the future. The second overarching point made in the introduction is that QLMs protect against ‘helicopter’ research, a heightened risk when studying crisis times. Together the papers offer a close and complex introspection on the use and outcome of QLMs in spaces and times of crisis from the perspective of researchers undertaking the research, and in multiple instances, research participants enrolled in them.
Publication Type: | Article |
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Additional Information: | The information, practices and views in this article are those of the author(s) and do not necessarily reflect the opinion of the Royal Geographical Society (with IBG). © 2024 The Authors. Area published by John Wiley & Sons Ltd on behalf of Royal Geographical Society (with the Institute of British Geographers). This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Publisher Keywords: | crisis, crisis temporalities, feminist, longitudinal research, qualitative methodology |
Subjects: | H Social Sciences H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
Departments: | Bayes Business School > Management |
SWORD Depositor: |
Available under License Creative Commons Attribution.
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