Principal speaker
Dr Judy Rose
Other speakers
Assoc Prof Sama Low-Choy
This mixed method 3-day course, is designed for participants wanting to understand the principles and practicalities of combining qualitative and quantitative techniques.
Who should attend? This course is suitable for those new to mixed methods research along with those who have tried it before but would like to learn more.
Session 1. The course begins by reviewing key literature on the theoretical foundations of mixed methods research. Next, it examines mixed method case studies including qualitatively-driven, quantitatively driven and other mixed method designs. Finally, we demonstrate concrete techniques for developing a conceptual framework that potentially helps bridge between qualitative and quantitative methods, and can help structure the literature review.
Session 2. We show how a common conceptual framework can be constructed to inform both qualitative and quantitative analysis, including Bayesian statistical modelling (Low-Choy et al, 2017). This includes identification of variables and describing their relationships, as relevant to the research questions. We will pay particular attention to how the conceptual framework can be used to structure and guide the literature review, including its breadth and depth, building on Pickering & Byrne (2014). Altogether we show how this provides a basis for graphical forms of modelling, from Structural Equation Models, to Bayesian Networks or Bayesian statistical models.
Session 3. Next, the course examines mixed method research studies including qualitatively-driven, quantitatively driven, and other mixed method designs. We demonstrate options and provide suggestions for the sequencing and mixing of quantitative and qualitative components of a research project. Finally, we explore the benefits and challenges of mixing methods and writing it up for publication.
Format. Interactive, these sessions will involve discussion in small groups.
Participants can choose to attend just one or all of the sessions offered.
Event categories
Event contact details
- Researcher Education and Development
- 0755529107