Saturation vs. information power in qualitative data analysis
Event description
“Saturation vs. information power in qualitative data analysis”
This session is part of the series: Qualitative Data Analysis at UTS. The aim of this series is to showcase and celebrate the diverse and innovative ways UTS researchers are working with qualitative data, unpack some underlying principles of qualitative data analysis, and explore some qualitative data theoretical frameworks.
Qualitative researchers constantly struggle to justify sample sizes, particularly to more quantitatively minded researchers and reviewers. While the concept of saturation (data, thematic etc.) is popular, a new concept information power (introduced in 2016) has been gaining momentum. In this workshop, Dr Erin Turbitt will define and describe the concepts of saturation and information power and discuss the advantages and disadvantages of each approach.
Learning outcomes:
- Learn about the origins of the concept of saturation in qualitative research
- Learn about information power and how to apply this concept to your own research
Other workshops in the series Qualitative Data Analysis at UTS:
- Understanding thematic analysis
- Coding qualitative data
- VIP Dr Paul - details to come
- Working with theory in qualitative analysis
- Using numbers in qualitative research – is it ever OK?
- Analysis. Writing. The iterative process of qualitative data analysis
- Software in qualitative data analysis: how to make it work for you
- Saturation vs. information power in qualitative data analysis
- How to write up your qualitative data analysis
Please note that this session will be delivered face-to-face but with a Zoom option available for those who cannot make it in person. This session will also be recorded and may be uploaded as online training.
This is a UTS Aspire event. UTS Aspire is a program of pan-university research development opportunities led by the Research Capability and Development Team.
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