Analysis is a process of deconstructing and reconstructing evidence that involves purposeful interrogation and critical thinking about data in order to produce a meaningful interpretation and relevant understanding in answer to the questions asked or that arise in the process of investigation (Bazeley, 2021, p. 3)
When we analyze qualitative data, we need systematic, rigorous, and transparent ways of manipulating our data in order to begin developing answers to our research questions. We also need to keep careful track of the steps we've taken to conduct our analysis in order to communicate this process to readers and reviewers.
Beyond coding, it is not always clear of what steps you should take to analyze your data. In this series of pages, I offer some basic information about different strategies you might use to analyze your qualitative data, as well as information on how you can use these strategies in different QDA software programs.
Bazeley, P. (2021). Qualitative data analysis: Practical strategies (2nd ed.). Sage.