Exercises

  1. Develop a ‘thick description’ of an issue in your data. Identify the depth, breadth, context and nuance of the issue. Use examples from your data add detail to the description.
  2. Identify whether some codes have similar attributes, group these into categories and label each category.
  3. Try to conceptualize your data as a whole using techniques described in this chapter.
  4. Validate your theory using some of the strategies described. Is the theory well grounded? Does it offer a more than description, to explain and account for your data?