Mixed Methods - Visualising the Conceptual Framework for Quant and Qual Research

Mixed Methods - Visualising the Conceptual Framework for Quant and Qual Research
Mixed Methods - Visualising the Conceptual Framework for Quant and Qual Research

Principal speaker

Associate Professor Sama Low-Choy

This workshop shows how a common conceptual framework can be constructed to inform quantitative and some types of qualitative analysis, and also help integrate these two approaches (Low-Choy et al, 2017, Section 3: Bridging via the theoretical and conceptual framework). The key steps include identifying concepts, evolving these into variables (which can be conceptualised and/or measured) and describing their relationships, as relevant to the research questions. These can be represented visually, in different ways (e.g. Low-Choy et al, 2017, Figures 2,3,7); and can provide a useful introduction for a paper or thesis chapter, or be a useful slide in a presentation. Such figures may be crucial to supporting communication by and within the research team. Increasingly publications are requesting graphical abstracts, so these diagrams can make your work more accessible by others, and increase download and citation rates. We indicate how the conceptual framework can be used to structure and guide a literature review (LR) that is "model-centric" (Jahandideh et al, 2018), including its breadth and depth, building on quantitative systematic LRs (Pickering & Byrne, 2014). Moving forwards, we also indicate how this conceptual framework could also provide a basis for graphical forms of statistical modelling, such as Structural Equation Models or Bayesian.

Format. This workshop will be delivered online during a 3 hour period, with unsupervised small group work (no tutors) via breakout sessions.

Pre-requisites. Participants will gain more from this work if they are already deep into the literature review, and have made headway into refining their research questions and other aspects of their conceptual framework. It is beneficial but not essential to have attended the MM1 (Introducing MM) workshop.

Readings. The first two references underpin key messages in the workshop. Pickering & Byrne (2014) may be familiar to people who have done RED's workshop on Systematic Quantitative Literature Review.

Jahandideh S, Kendall E, Low-Choy S, Donald K, Jayasinghe R. (2018) The process of patient engagement in cardiac rehabilitation: A model-centric systematic review. https://doi.org/10.1017/bec.2018.20

Low-Choy S, Riley T & Alston-Knox C (2017). Using Bayesian statistical modelling as a bridge between quantitative and qualitative analyses: illustrated via analysis of an online teaching tool, https://doi.org/10.1080/09523987.2017.1397404

Pickering CM & Byrne J (2014). The benefits of publishing systematic quantitative literature reviews for PhD candidates and other early career researchers, https://doi.org/10.1080/07294360.2013.841651

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RSVP on or before Monday 3 August 2020 , by email RED@griffith.edu.au, or by phone 0755529107 , or via https://events.griffith.edu.au/d/27qlv3/4W

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