Principal speaker
Dr Judy Rose
This seminar provides insights into an Australian Research Council Academy of the Social Sciences in Australia project conducted to examine the problems around the use of big data for social policy. This involved interviewing 12 experts about the benefits and risks of a range of big data technologies, including data linkage. A thematic analysis method was used to organise the qualitative data into units of meaning that became themes and subthemes. To code the data "a priori' codes were derived via deductive processes from the set of semi-structured interview questions. Next, emergent codes were created via inductive processes to include new or unexpected topics or themes. Code counts showed a slightly higher number of emergent (41) compared to "a priori' themes (38). Theme coverage was quantified to indicate relative "airtime' given to topics by all interviewees and then compared with how much airtime each interviewee gave to each theme. The findings indicated the most common theme "trust, privacy and sharing' was spoken about by all 12 experts a total of 42 times. A related subtheme "Indigenous data sovereignty' was spoken about by 1 expert a total of 7 times. A benefit of mixed methods was to be able to use quantitative counts and percentage coverage to inform which qualitative themes are dominant, and to understand what kinds of issues different types of experts found important or to help detect sample bias (e.g. being pro or anti big data).
Format: This session will be delivered as an on-line seminar over a 1-hour period. There will be up to ½ hour allowed for Q & A and discussion during the seminar.
Relationship to other RED workshops and seminars: This is a companion to Mixed Methods foundations workshops (MM 1-4), "Mixing Clustering in with Thematic Analysis of Interviews', "Interpretive Phenomenological Analysis of Interview and Open-ended Survey Data' and "Eliciting Effect Sizes from Experts'.
Recommended Readings, prior to attending: Hatta, T., Narita, K., Yanagihara, K., Ishiguro, H., Murayama, T., & Yokode, M. (2020). Crossover mixed analysis in a convergent mixed methods design used to investigate clinical dialogues about cancer treatment in the Japanese context. Journal of Mixed Methods Research, 14(1), 84-109.
Onwuegbuzie, A.J. & Hitchcock, J.H. (2015). "Developing mixed methods crossover analysis approaches', In Hesse-Biber & Johnson (eds) The Oxford Handbook of Mixed and Multimethod Research inquiry, Chapter 16.
Event categories
RSVP
RSVP on or before Friday 4 December 2020 08.39 am, by email RED@griffith.edu.au , or by phone 0755529107 , or via https://events.griffith.edu.au/d/07qbcm/4W