January 07, 2019
In this post we share a summarized version of our webinar on Qualitative Data Analysis. The full version of the webinar is available at the Peer4Progress board of the DoctorateHub learning space.
The webinar was well attended with a good level of discussion and great reflections. Rather than go into the detail of any particular qualitative method, we instead explored the analysis process and how it integrates within the wider research process. We look at examples of coding and the alternative means of analyzing qualitative data. We discussed that for any approach to analyzing qualitative data there should be sufficient evidence that such an approach has been successfully applied in the past.
We also discussed that qualitative data analysis is a logical and evidence based process, and that the write up needs to be done accordingly to clearly bring out the analytics on what the data is telling us. In talking about analytics, there appeared to be an agreement that software “solutions” might provide some sort of support, but that the analytics and reasoning would be true manual work and craftsmanship.
Towards the end of the webinar we went through a couple of examples and the do’s and don’ts, as well as the particularities around tackling wicked problems – which is a tough thing to do and as detailed in this blog post.
Follows are a sample of the many slides and discussion points:
Those attending were provided with a full slide deck and additional reference materials.
We look forward to engaging with you at our next Webinar.