Abstract
The 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Banerjee, A., Bandyopadhyay, T., & Acharya, P. (2013). Data analytics: Hyped up aspirations or true potential? Vikalpa, 38(4), 1–11.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(4), 399–426.
Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535.
Finkelstein, S., Speedie, S., Zhou, X., Pothouff, S., & Ratner, E. (2011). Perception, satisfaction and utilisation of the VALUE home telehealth service. Journal of Telemedicine and Telecare, 17(6), 288–292.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued is use: An integrative view of four mechanisms underlying post-adoption phenomena. Management Science, 51(5), 741–755.
Kim, S. S., Malhotra, N. K., & Narasimhan, S. (2005). Two competing perspectives on automatic use: A theoretical and empirical comparison. Information Systems Research, 16(4), 418–432.
Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126.
Limayem, M., & Hirt, S. G. (2003). Force of habit and information systems usage: Theory and initial validation. Journal of the AIS, 4(1), 65–97.
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intentions: The case of IS continuance. MIS Quarterly, 31(4), 705–737.
Metzger, L. (2011). Telehealth in home healthcare. PhD Thesis—Marywood University.
Remenyi, D., Williams, B., Money, A., & Swartz, E. (1998). Doing research in business and management. London: Sage.
Sharda, R., Adomako Asamoah, D., & Ponna, N. (2013). Research and pedagogy in business analytics: Opportunities and illustrative examples. Journal of Computing & Information Technology, 21(3), 171–183. doi:10.2498/cit.1002194.
van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Gururajan, R. et al. (2016). Reliability of Qualitative Data Using Text Analysis: A Queensland Health Case Study. In: Wickramasinghe, N., Troshani, I., Tan, J. (eds) Contemporary Consumer Health Informatics. Healthcare Delivery in the Information Age. Springer, Cham. https://doi.org/10.1007/978-3-319-25973-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-25973-4_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25971-0
Online ISBN: 978-3-319-25973-4
eBook Packages: MedicineMedicine (R0)