Reliability of qualitative data using text analysis: a Queensland Health case study

Gururajan, Raj and Hafeez-Baig, Abdul and Clark, Kevin and Moller, Susan and Sankaran, Prema (2014) Reliability of qualitative data using text analysis: a Queensland Health case study. In: 3rd International Conference on Eco-friendly Computing and Communication Systems (ICECCS 2014): Computing and Communication for Sustainable Development, 18-21 Dec 2014, Mangalore, India.

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This paper reports how reliability can be assured in
qualitative data using text analytics principles. The paper
demonstrates this using a cohort analytics process that used
text mining on 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 exploration. Further, 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 normally employed in qualitative data analysis.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 24 Apr 2015 01:03
Last Modified: 20 Jun 2017 02:27
Uncontrolled Keywords: qualitative data analysis; reliability; validity
Fields of Research : 10 Technology > 1006 Computer Hardware > 100605 Performance Evaluation; Testing and Simulation of Reliability
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance)
08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences

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