Abstract
AbstractNext to gathering qualitative data, coding of data lies at the core of qualitative research. The chapter is the first of two that dig into the specificities of data analysis. Coding is one way of organising dense data and making sense of it, for instance by identifying patterns. Whilst there exist various approaches to coding, this chapter presents a set of strategies to code dense interview, ethnographic and document data. Additionally, we present the technicalities of coding data collaboratively, as part of teamwork. Importantly, Chapter 5 yields important tips and concrete examples regarding the use of software tools for qualitative analysis, such as Atlas.ti and the intricacies of using it as a team. Specifically, the chapter discusses the initial stages of developing code listsin inductiveand deductive ways, the technicalities pertaining to actually coding the text of the data with Atlas.ti, and presents an overview of the advantages of some tools, such as creating code families, to make sense of the data. Throughout the chapter, we discuss the collaborative nature of our coding work by reviewing the pros and cons and by examining issues pertaining to intercoder reliability.
Publisher
Springer Nature Switzerland