In this webinar we go through importing, exploring, visualising, analysing and exporting interview data with Skimle. The dataset we use is the well-known Enriquez, D. (2021). Delivery Gig Worker Interviews on Automation at Work [Data set]. Version 1. Princeton University. https://doi.org/10.34770/4324-yn77, with 39 gig workers discussing their work.
What you'll learn:
- Exploratory data analysis using inductive "Identified themes" analysis
- Applying a specific lens using "Predefined categories"
- Analysing with a research question using agentic analysis
- Using metadata to analyse different cases
- Visualising interview data with mixed methods
- How to collaborate with your team
Who this is for: Researchers analysing interviews, for example for a PhD or other academic research, or in an applied context.