Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1539
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dc.contributor.authorWickramasinghe, Nilmini-
dc.contributor.editorWickramasinghe, Nilmini-
dc.contributor.editorTroshani, Indrit-
dc.contributor.editorTan, J.-
dc.contributor.otherGururajan, Raj-
dc.contributor.otherClark, Kevin-
dc.contributor.otherMoller, S.-
dc.contributor.otherSankaran, P.-
dc.contributor.otherBaig, H.-
dc.date.accessioned2018-10-25T00:22:09Z-
dc.date.available2018-10-25T00:22:09Z-
dc.date.issued2016-
dc.identifier.isbn9783319259734en_US
dc.identifier.urihttp://hdl.handle.net/11434/1539-
dc.description.abstractThe chapter reports how reliability can be assured in qualitative data using text analytics principles, and it demonstrates this using a cohort analytics process, which used text mining on the data collected from 64 interviews conducted in Queensland Health wards. While the focus of the interviews was on implementing a technology, the text analysis was conducted to assure that the themes were exactly the focus of the study. Furthermore, the analytics helped to represent a visual view of the data, to imply the reliability of themes. We conducted the analytics to provide additional reliability than standard saturation, which is normally employed in a qualitative data analysis.en_US
dc.publisherSpringer International Publishingen_US
dc.subjectQualitative Data Analysisen_US
dc.subjectText Analyticsen_US
dc.subjectCohort Analyticsen_US
dc.subjectQualitative Dataen_US
dc.subjectChair of Health Informatics Management, Epworth HealthCare, Victoria, Australiaen_US
dc.titleReliability of qualitative data using text analysis: a Queensland Health case study.en_US
dc.typeChapteren_US
dc.identifier.doidoi.org/10.1007/978-3-319-25973-4_1en_US
dc.description.affiliatesHealth Informaticsen_US
dc.type.contenttypeTexten_US
dc.title.bookContemporary Consumer Health Informaticsen_US
Appears in Collections:Health Informatics

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