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WordCommentsAnalyzer: A windows software tool for qualitative research
There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. Howeve...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137411/ https://www.ncbi.nlm.nih.gov/pubmed/30271579 http://dx.doi.org/10.12688/f1000research.14819.2 |
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author | Abdekhodaie, Ehsan Hatami, Javad Bahrami Ehsan, Hadi Kormi-Nouri, Reza |
author_facet | Abdekhodaie, Ehsan Hatami, Javad Bahrami Ehsan, Hadi Kormi-Nouri, Reza |
author_sort | Abdekhodaie, Ehsan |
collection | PubMed |
description | There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present WordCommentsAnalyzer, a software tool that is written in C# using .NET Framework and OpenXml, which helps a qualitative researcher to organize codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to organize codes in a code hierarchy, and to see various data extracts belonging to each code. It also offers basic visualization tools. We illustrate how to use this software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We also demonstrate that the software has satisfactory performance on a large dataset of Iranian journals abstracts. We hope this open-source software will facilitate qualitative data analysis by researchers who are interested in using Word for this purpose. |
format | Online Article Text |
id | pubmed-6137411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-61374112018-09-28 WordCommentsAnalyzer: A windows software tool for qualitative research Abdekhodaie, Ehsan Hatami, Javad Bahrami Ehsan, Hadi Kormi-Nouri, Reza F1000Res Software Tool Article There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present WordCommentsAnalyzer, a software tool that is written in C# using .NET Framework and OpenXml, which helps a qualitative researcher to organize codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to organize codes in a code hierarchy, and to see various data extracts belonging to each code. It also offers basic visualization tools. We illustrate how to use this software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We also demonstrate that the software has satisfactory performance on a large dataset of Iranian journals abstracts. We hope this open-source software will facilitate qualitative data analysis by researchers who are interested in using Word for this purpose. F1000 Research Limited 2018-09-04 /pmc/articles/PMC6137411/ /pubmed/30271579 http://dx.doi.org/10.12688/f1000research.14819.2 Text en Copyright: © 2018 Abdekhodaie E et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Abdekhodaie, Ehsan Hatami, Javad Bahrami Ehsan, Hadi Kormi-Nouri, Reza WordCommentsAnalyzer: A windows software tool for qualitative research |
title | WordCommentsAnalyzer: A windows software tool for qualitative research |
title_full | WordCommentsAnalyzer: A windows software tool for qualitative research |
title_fullStr | WordCommentsAnalyzer: A windows software tool for qualitative research |
title_full_unstemmed | WordCommentsAnalyzer: A windows software tool for qualitative research |
title_short | WordCommentsAnalyzer: A windows software tool for qualitative research |
title_sort | wordcommentsanalyzer: a windows software tool for qualitative research |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137411/ https://www.ncbi.nlm.nih.gov/pubmed/30271579 http://dx.doi.org/10.12688/f1000research.14819.2 |
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