Learning Objectives
Chapter overview and goal
After reading this chapter, you will have a better understanding of:
Learning Objectives
Chapter overview and goal
After reading this chapter, you will have a better understanding of:
- What a three-pronged approach to data analysis looks like and the specific strategies and methods you can use in data analysis processes
- How to manage and organize your data and what this means for data analysis
- How to develop a solid data management plan
- The analytical decisions related to transcribing data
- Processes for pre-coding data
- What it means to immerse yourself in your data and how to do so
- Different ways to “read” data
- What coding is and how to do it
- The different approaches to coding qualitative data
- The role of Computer Assisted Qualitative Data Analysis (CAQDAS) in data analysis
- How to holistically analyze data items through connecting strategies
- Ways to structure and approach dialogic engagement exercises as you analyze your data
- Processes for developing analytic themes
- Considerations and processes for ensuring validity during data analysis
- How writing is an ongoing part of data analysis
- What you can do to resist imposing interpretative authority