A Team-based Approach to Open Coding: Considerations for Creating Intercoder Consensus

M. Ariel Cascio, Eunlye Lee, Nicole Vaudrin, Darcy A. Freedman

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

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 report on one approach for creating consensus when open coding within an iterative-inductive analytical strategy. The strategy described may be used in a variety of settings to foster efficient and credible analysis of larger qualitative data sets, particularly useful in applied research settings where rapid results are often required.

Original languageEnglish
Pages (from-to)116-130
Number of pages15
JournalField Methods
Volume31
Issue number2
DOIs
StatePublished - May 1 2019

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