When we collect data for our research projects, often we use different methods to collect different types of data, to produce a comprehensive picture of the scenario. Mixed-methods (MM), which includes qualitative data and quantitative data, is a widely used methodology which in depict the general picture and also probe in detail some aspects of it. However, designing in a mixed-methods study it is not straightforward as it may at first appear, if you are to ensure that different tools are nested well, and work effectively to get the data that you need.
This course introduces early-stage doctoral students to designing and conducting mixed-methods research. Starting with the methodology’s epistemology, it helps participants understand key theoretical perspectives, and recognise the advantages and challenges in adopting a mixed-methods design. It also helps them to explore how the methodology can work in practice, by identifying appropriate data collection methods for their own studies. Participants will have the opportunity to think through or discuss their preliminary research designs with other students and the course convenor, to help prepare for fieldwork or data collection. They will also learn how to present research data cohesively and coherently.
1. understand the theoretical orientation of mixed methods
2. find out several ways of mixing qualitative and quantitative methods in research design
3. improve their ability to design a mixed-methods study and learn how to justify methodological choices
4. understand the challenges in conducting a mixed-methods study and explore ways to overcome them
5. prepare for collecting mixed-methods data
Pre-requisites & related activities
Find a piece of research with a mixed-methods design that is most relevant to your research, and make notes on how the researcher(s) demonstrated and justified their method choices.
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