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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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Autores principales: Alanazi, Ahmed S., Wharrad, Heather, Moffatt, Fiona, Taylor, Michael, Ladan, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620337/
https://www.ncbi.nlm.nih.gov/pubmed/34828537
http://dx.doi.org/10.3390/healthcare9111491
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author Alanazi, Ahmed S.
Wharrad, Heather
Moffatt, Fiona
Taylor, Michael
Ladan, Muhammad
author_facet Alanazi, Ahmed S.
Wharrad, Heather
Moffatt, Fiona
Taylor, Michael
Ladan, Muhammad
author_sort Alanazi, Ahmed S.
collection PubMed
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.
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spelling pubmed-86203372021-11-27 Q Methodology in the COVID-19 Era Alanazi, Ahmed S. Wharrad, Heather Moffatt, Fiona Taylor, Michael Ladan, Muhammad Healthcare (Basel) Article 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. MDPI 2021-11-02 /pmc/articles/PMC8620337/ /pubmed/34828537 http://dx.doi.org/10.3390/healthcare9111491 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alanazi, Ahmed S.
Wharrad, Heather
Moffatt, Fiona
Taylor, Michael
Ladan, Muhammad
Q Methodology in the COVID-19 Era
title 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_short Q Methodology in the COVID-19 Era
title_sort q methodology in the covid-19 era
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620337/
https://www.ncbi.nlm.nih.gov/pubmed/34828537
http://dx.doi.org/10.3390/healthcare9111491
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