Q Methodology in the COVID-19 Era
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 importan...
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MDPI AG
2021
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oai:doaj.org-article:b878617f832b4e42b8a7d824776263fd2021-11-25T17:44:48ZQ Methodology in the COVID-19 Era10.3390/healthcare91114912227-9032https://doaj.org/article/b878617f832b4e42b8a7d824776263fd2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1491https://doaj.org/toc/2227-9032All 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.Ahmed S. AlanaziHeather WharradFiona MoffattMichael TaylorMuhammad LadanMDPI AGarticleQ methodologymethodologyonline studiesCOVID-19data collectionMedicineRENHealthcare, Vol 9, Iss 1491, p 1491 (2021) |
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DOAJ |
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topic |
Q methodology methodology online studies COVID-19 data collection Medicine R |
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Q methodology methodology online studies COVID-19 data collection Medicine R Ahmed S. Alanazi Heather Wharrad Fiona Moffatt Michael Taylor Muhammad Ladan Q Methodology in the COVID-19 Era |
description |
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. |
format |
article |
author |
Ahmed S. Alanazi Heather Wharrad Fiona Moffatt Michael Taylor Muhammad Ladan |
author_facet |
Ahmed S. Alanazi Heather Wharrad Fiona Moffatt Michael Taylor Muhammad Ladan |
author_sort |
Ahmed S. Alanazi |
title |
Q Methodology in the COVID-19 Era |
title_short |
Q Methodology in the COVID-19 Era |
title_full |
Q Methodology in the COVID-19 Era |
title_fullStr |
Q Methodology in the COVID-19 Era |
title_full_unstemmed |
Q Methodology in the COVID-19 Era |
title_sort |
q methodology in the covid-19 era |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/b878617f832b4e42b8a7d824776263fd |
work_keys_str_mv |
AT ahmedsalanazi qmethodologyinthecovid19era AT heatherwharrad qmethodologyinthecovid19era AT fionamoffatt qmethodologyinthecovid19era AT michaeltaylor qmethodologyinthecovid19era AT muhammadladan qmethodologyinthecovid19era |
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1718412069023252480 |