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.
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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.
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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
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DOI: https://doi.org/10.1007/978-3-319-25973-4_1
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