Mixed Methods 2 - Visualising and communicating the logic of Mixed Methods research

Mixed Methods 2 - Visualising and communicating the logic of Mixed Methods research
Mixed Methods 2 - Visualising and communicating the logic of Mixed Methods research

Principal speaker

Associate Professor Sama Low-Choy

This session is part of a 6-part series on Foundations of Mixed Methods (FMM). The basics are covered in Introducing MM (Part 1), focusing on context, approach. research questions and theoretical context. We explore easy, visual ways for communicating MM strategies (Part 2), including a conceptual framework for quant/qual empirical research. We demonstrate the variety of strategies for assembling MM studies, when studies use both survey and interview data (Part 3). The conceptual framework underlying MM is discussed in greater detail (Part 4), as a basis for designing the MM and critical reading and writing about MM strategies (Part 5). We provide an example of integrative MM, illustrated for analyzing interview transcripts via thematic/clustering analysis (Part 6).

This workshop explores different ways of visualising the strategy for a Mixed Methods study, which lies at the heart of all quant(itative) studies, and some types of qual(itative) analysis. This includes conceptual diagrams of methods adopted by phases or components of research. Importantly it includes the conceptual framework, which summarises the logic of a study , and helps define research questions and important concepts that provide a rationale for the data collected. We show how a common conceptual framework can help integrate Qual/Quant methods in a MM study.

These visual devices can be presented in different ways; and can provide a useful introduction for a paper or thesis chapter, structure the literature review, 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. Moving forwards, these diagrams may also provide a basis for graphical forms of statistical modelling, such as Structural Equation Models, Bayesian Networks, or Bayesian prior/posterior models.

Who may attend? Beginners, with a research question of their own, who wish to explore visual ways of describing a MM approach to research, and/or obtain a visual introduction to a MM way of doing research.

Format: This workshop will be delivered online during a 3-hour period, with unsupervised small group work (no tutors) via breakout sessions. Be prepared to scribble!

Recommended Preparation: Please find and share one diagram describing a mixed methods strategy in the week prior to the workshop. (The presenter will share a couple.)


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RSVP on or before Friday 20 May 2022 10.15 am, by email RED@griffith.edu.au , or via https://events.griffith.edu.au/N3Oy7v

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