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Q Methodology in the COVID-19 Era
- Source :
- Healthcare, Volume 9, Issue 11, Healthcare, Vol 9, Iss 1491, p 1491 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- All face-to-face studies were affected by the COVID-19 pandemic, as they could not be run in person due to rules and guidance linked to social distancing which were in force during the outbreak. Finding and testing an available COVID-secure approach for both participants and researchers was important as was the need to continue conducting such studies during this critical time. At present, the extant literature indicates a clear gap in research that elucidates how to carry out a Q methodology study online, step by step. This paper describes an option for online Q methodology using an approach that simulates all of the steps performed in a face-to-face setting using an open-source software known as Easy-HtmlQ. Using a case study in telemedicine adoption as illustration, this paper also considers the perspective of both research participants and Q methodology researchers via semi-structured interviews. Using Easy-HtmlQ V1.1 in online Q methodology studies appears to be an affordable, practical and user-friendly solution. Some of the benefits associated with running Q methodology studies online were the decreased costs, enabling the recruitment of wider number of participants, providing a COVID-19-secure environment and offering convenience to both participants and researchers during the research process. The findings of this study may contribute to increasing the number of online Q methodology studies in the future, as it has succeeded in offering a feasible approach for Q methodology researchers.
- Subjects :
- Telemedicine
Critical time
Data collection
data collection
Coronavirus disease 2019 (COVID-19)
business.industry
Computer science
Leadership and Management
Social distance
Health Policy
Perspective (graphical)
COVID-19
Health Informatics
methodology
Research process
Data science
Article
Q methodology
Software
Health Information Management
Medicine
online studies
business
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Database :
- OpenAIRE
- Journal :
- Healthcare
- Accession number :
- edsair.doi.dedup.....af0c8aec4f644c426ae320a8a2edf545
- Full Text :
- https://doi.org/10.3390/healthcare9111491