Coding In-depth Semistructured Interviews
Dartmouth College · Copenhagen Business School · +2 more institutions
Abstract
Many social science studies are based on coded in-depth semistructured interview transcripts. But researchers rarely report or discuss coding reliability in this work. Nor is there much literature on the subject for this type of data. This article presents a procedure for developing coding schemes for such data. It involves standardizing the units of text on which coders work and then improving the coding scheme’s discriminant capability (i.e., reducing coding errors) to an acceptable point as indicated by measures of either intercoder reliability or intercoder agreement. This approach is especially useful for situations where a single knowledgeable coder will code all the transcripts once the coding scheme…
Citation impact
- FWCI
- 102.91
- Percentile
- 100%
- References
- 54
Authors
4- JLJohn L. CampbellCorresponding
Dartmouth College, Copenhagen Business School
- CQCharles Quincy
IBM (United States)
- JOJordan Osserman
Birkbeck, University of London
- OKOve K. Pedersen
Copenhagen Business School
Topics & keywords
- Coding (social sciences)
- Computer science
- Medical classification
- Natural language processing
- Data mining
- Data science
- Psychology
- Statistics
- Reduced inequalities