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We organized a workshop, “Mixing Quantitative with Qualitative Methods” as part of the larger OzCHI 2017 conference (Morrison, Viller, Heck, & Davis, 2017), as we had found a lack of understanding of the rigor involved where both quantitative and qualitative methods were used in studies. In addition, adapting methods to include streams of physiological data raised issues with establishing and verifying new procedures and methods. In the workshop, we discussed particulars of the five case studies as presented by the participants and together outlined some of the challenges involved in the study design and analysis processes. The abstracts and presentations of the studies are available at the workshops website (1). Applying mixed methods, while gathering information from rich and diverse qualitative and/or quantitative data sources comes with multiple challenges. We found a collective approach was beneficial. Discussions from the workshop identified three main issues. Study design and analysis, communication and dissemination of results as well as the role of researchers in a study were key, especially when conducting diverse case studies.
(1) https://methodshci.wordpress.com
Morrison, A., Viller, S., Heck, T., & Davis, K. (2017). Mixing quantitative with qualitative methods: current practices in designing experiments, gathering data and analysis with mixed methods reporting. In Proceedings of the 29th Australian Conference on Computer-Human Interaction (OzCHI'17) (pp. 654–655). New York, NY, USA: ACM, doi: 10.1145/3152771.3156195