{"title":"Evaluation of Qualitative Data Analysis Software by a Visually Impaired Researcher: An Autoethnographic Study","authors":"Ibrahim Emara","doi":"10.1177/16094069231214390","DOIUrl":null,"url":null,"abstract":"Although computational methods facilitate research studies greatly, academics with visual impairment cannot utilize these tools to their maximum potential. Not only do computational research methods themselves have many shortcomings, but the needs and problems encountered by researchers with visual impairment in using these tools are not identified. In particular, the use of qualitative data analysis software (Q-DAS) by researchers with visual impairment has not been thoroughly examined. Thus, the current article addresses the benefits that visually impaired researchers can gain from employing commercial Q-DAS software packages in analyzing qualitative data. Further, Q-DAS problems that researchers with visual impairments experience are discussed. In addition, the article proposes solutions by which Q-DAS utilization in studies performed by/for the visual impairment community could improve. The article has many significant contributions, not only for scholars with visual impairment but also for elderly scientists whose vision declines over time. The article addresses this topic through critical disability studies.","PeriodicalId":48220,"journal":{"name":"International Journal of Qualitative Methods","volume":"69 1","pages":"0"},"PeriodicalIF":3.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Qualitative Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/16094069231214390","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Although computational methods facilitate research studies greatly, academics with visual impairment cannot utilize these tools to their maximum potential. Not only do computational research methods themselves have many shortcomings, but the needs and problems encountered by researchers with visual impairment in using these tools are not identified. In particular, the use of qualitative data analysis software (Q-DAS) by researchers with visual impairment has not been thoroughly examined. Thus, the current article addresses the benefits that visually impaired researchers can gain from employing commercial Q-DAS software packages in analyzing qualitative data. Further, Q-DAS problems that researchers with visual impairments experience are discussed. In addition, the article proposes solutions by which Q-DAS utilization in studies performed by/for the visual impairment community could improve. The article has many significant contributions, not only for scholars with visual impairment but also for elderly scientists whose vision declines over time. The article addresses this topic through critical disability studies.
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Impact Factor: 5.4 Ranked 5/110 in Social Sciences, Interdisciplinary – SSCI
Indexed In: Clarivate Analytics: Social Science Citation Index, the Directory of Open Access Journals (DOAJ), and Scopus
Launched In: 2002
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International Journal of Qualitative Methods (IJQM) is a peer-reviewed open access journal which focuses on methodological advances, innovations, and insights in qualitative or mixed methods studies. Please see the Aims and Scope tab for further information.