This chapter is a narrative of the actual doing of a qualitative research study. Qualitative analysis does not follow a recipe of steps where it is possible to make continual forward progress. Textbooks about qualitative methods have a burden of providing clarity to the methods. This chapter instead seeks to show all of the mess, setbacks, and ambiguity. The chapter chronicles what I learned through writing, revising, and now reflecting on a paper that traversed a particularly rocky path. I have distilled my insights into eighteen tips that are sequenced to roughly align with the broad categories of data collection, analysis, and writing. I provide some potentially controversial advice about how to cherry pick data and writing tips that go beyond “write clearly.” Some of these tips are likely applicable for qualitative, quantitative, and mixed-methods studies and may even be helpful as a checklist. Beyond the content of the tips, I hope that this chapter helps readers see how much is hidden in the unpublished backstories of research papers.
|Original language||English (US)|
|Title of host publication||The Cambridge Handbook of Computing Education Research|
|Publisher||Cambridge University Press|
|Number of pages||19|
|State||Published - Jan 1 2019|
ASJC Scopus subject areas
- Social Sciences(all)