Summary

Coding and analysis are central to qualitative research, moving the researcher from study design and data collection to discovery, theorizing, and writing up the findings in some form (e.g., a journal article, report, book chapter or book). Analysis is a systematic way of approaching data for the purpose of better understanding it. In qualitative research, such understanding often involves the process of translating raw data—such as interview transcripts, observation notes, or videos—into a more abstract understanding of that data, often in the form of theory. Analytical techniques common to qualitative approaches include writing memos, narratives, cases, timelines, and figures, based on one’s data. Coding often involves using short labels to capture key elements in the data. Codes can either emerge from the data, or they can be predetermined based on extant theorizing. The type of coding one engages in depends on whether one is being inductive, deductive or abductive. Although often confounded, coding is only a part of the broader analytical process.

In many qualitative approaches, coding and analysis occur concurrently with data collection, although the type and timing of specific coding and analysis practices vary by method (e.g., ethnography versus grounded theory). These coding and analytic techniques are used to facilitate the intuitive leaps, flashes of insight, and moments of doubt and discovery necessary for theorizing. When building new theory, care should be taken to ensure that one’s coding does not do undue “violence to experience”: rather, coding should reflect the lived experiences of those one has studied.