DocumentCode :
3563455
Title :
Reliability of Qualitative Data Using Text Analysis - A Queensland Health Case Study
Author :
Gururajan, Raj ; Clark, Kevin ; Moller, Susan ; Sankaran, Prema ; Baig, Abdul Hafeez
Author_Institution :
Univ. of Southern Queensland, Toowoomba, QLD, Australia
fYear :
2014
Firstpage :
303
Lastpage :
308
Abstract :
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.
Keywords :
data analysis; data mining; health care; hospitals; medical computing; text analysis; Queensland health case study; Queensland health wards; cohort analytics process; qualitative data analysis; qualitative data reliability; text analysis; text analytics principles; text mining; Boards; Data analysis; Handover; Interviews; Reliability; Tag clouds; Text analysis; Qualitative Data Analysis; Reliability; Validity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Eco-friendly Computing and Communication Systems (ICECCS), 2014 3rd International Conference on
Print_ISBN :
978-1-4799-7003-2
Type :
conf
DOI :
10.1109/Eco-friendly.2014.68
Filename :
7209012
Link To Document :
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