Sampling and coding keeps coming up as an issue across the MODE data analysis workshops. There is debate as to whether one should code and if so how to do it and for what purpose. This is a disciplinary matter to a large extent as it is entwined with theoretical questions of whether we look at scale, for generalities for what? In workshops this has prompted suggestions that we code for critical incidences, breakdowns, customary acts, breakthrough ‘aha’ moments, for time, and for codes built from literature relevant to the specific research context and questions.
Author: Carey Jewitt