- 1. What is data analysis?
- 2. A grounded theory approach to data analysis
- 3. Processing your data in preparation for analysis
- 4. Coding interview transcripts and other data
- 5. Analysis in a collaborative context
- 6. Critically evaluating your data: reflexive data analysis
- 7. Summary
- 8. Feedback Survey
2. A grounded theory approach to data analysis
Grounded theory is the most commonly used framework for analyzing qualitative data.
Grounded theory is an approach to the generation of theory out of data through an inductive form of data analysis where theory is “grounded in” or generated from the data collected by the researcher. The use of a grounded theory approach involves a set of procedures regarding the analysis of data.
(a) Tools of grounded theory
- Coding: breaking down of data into component parts, usually by theme.
- Theoretical saturation: the point when coding no longer produces any new
- Constant comparison: the process of making a close connection between data and Although there are differences in the ways in which phases of coding occur in grounded theory there is general agreement that it involves a movement from generating codes that stay close to the data to more selective and abstract ways of conceptualizing.
(b) Outcomes of grounded theory
- Concepts: the building blocks of
- Categories: involve more than one concept so a category is a higher level of abstraction than
- Hypotheses: relations between
(c) Difficulties with grounded theory
- Putting aside your awareness of already existing Really you are building on the work of others.
- Practical difficulties regarding the time it
- It often does not result in
- Dividing data into chunks can result in loss of narrative flow, so a researcher may need to use narrative analysis (for example, in life histories).
Peake, L. 2018. Presentation at the ‘Workshop in Urban Feminist Research: Ethnographic Research Tools’, Ramallah, Palestine, July 2018.