Principal speaker
Dr Judy Rose
By assembling we mean putting together different components of a mixed methods study, includinghow qual(itative) and quant(itative) components combine, how data collected is "mixed" across qualand quant component,s and how results are combined. Other workshops detail data collectionparticular qual and quant methods. This workshop presents several Mixed Methods designs suitablefor mixing survey and interview data. Typically design involves a consideration of: purpose (e.g.,exploratory or explanatory), timing (e.g., concurrent or sequential), emphasis (e.g., qual or quantdriven) and mixing (e.g., triangulating results). Other aspects particularly relevant to surveys &interviews are: timing of phases (e.g., surveys before interviews or vice-versa) and integration (e.g.,survey outcomes inform the interview questions and sample).We present several examples of Mixed Methods studies in different fields including the Social andNatural Sciences, Health, and Education. We show that assembling a Mixed Methods study may be pre-specified, or may be developed in an iterative fashion.
Format: We assume you have watched the recorded session BEFORE attending this Question & Answer session. You can check your basic understanding by doing the quick quiz.
Intended audience: Advanced Beginners, who are interested in a variety of ways that surveys andinterviews can be assembled in a single MM project. It provides a basis for more complex methods(MM7 Integrative) as well as providing concrete examples of the general principles of designing(MM4 Design) or writing-up (MM6 Writing).
Recommended Reading, before attending: Driscoll, Appiah-Yeboah, Salib, & Rupert. (2007). Merging qualitative and quantitative data in mixed methods research: How to and why not. Ecological and Environmental Anthropology, 3(1), 19-28.
This session is for current Griffith University staff and students only.
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RSVP
RSVP on or before Sunday 12 May 2024 15.16 pm, by email red@griffith.edu.au , or via https://events.griffith.edu.au/LPgm5D