A Team-based Approach to Open Coding: Considerations for Creating Intercoder Consensus
Montreal Clinical Research Institute · McGill University · +2 more institutions
Abstract
In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many other applied fields. A team-based approach to analyzing qualitative data increases confidence in dependability and trustworthiness, facilitates analysis of large data sets, and supports collaborative and participatory research by including diverse stakeholders in the analytic process. However, it can be difficult to reach consensus when coding with multiple coders. We…
Citation impact
- FWCI
- 60.46
- Percentile
- 100%
- References
- 33
Authors
4Topics & keywords
- Computer science
- Coding (social sciences)
- Thematic analysis
- Qualitative research
- Dependability
- Iterative and incremental development
- Focus group
- Data science
- Partnerships for the goals