Chapter 2: Fundamental Coding Methods and Techniques

Codebooks and code lists

Alvarez, A. (2017). Drawn and written funds of knowledge: A window into emerging bilingual children’s experiences and social interpretations through their written narratives and drawings. Journal of Early Childhood Literacy, 18(1), 97–128. 

Anderson, K. T., Stewart, O. G., & Kachorsky, D. (2017). Seeing academically marginalized students’ multimodal designs from a position of strength. Written Communication, 34(2), 104–134.


Geisler, C. (2018). Coding for language complexity: The interplay among methodological commitments, tools, and workflow in writing research. Written Communication, 35(2), 215–249. 

Le Blanc, A. M. (2017). Disruptive meaning-making: Qualitative data analysis software and postmodern pastiche. Qualitative Inquiry, 23(10), 789–798. 

Translated data and coding

Sadeghzadeh, C., Wallace, D. D., Rodriguez, H. G., & Barrington, C. (online first, 2019). Coping with diabetes stress among adults in rural Dominican Republic: “I don’t think about it.” Chronic Illness. 

Further reading

Farrell, C. C., & Marsh, J. A. (2016). Metrics matter: How properties and perceptions of data shape teachers’ instructional responses. Educational Administration Quarterly, 52(3), 423–462. 

Lopez, S. R., & Rivera, M. D. (online first, 2020). Who is responsible? Varying solutions for improving equity of college access in an era of rising costs. Journal of Hispanic Higher Education. 

Mason, S., & Hunt, A. (2019). So what do you do? Exploring evaluator descriptions of their work. American Journal of Evaluation, 40(3), 395–413.

Swarts, J. (2019). Open-source software in the sciences: The challenge of user support. Journal of Business and Technical Communication, 33(1), 60–90. 

Leeson, W., Resnick, A., Alexander, D., & Rovers, J. (2019). Natural language processing (NLP) in qualitative public health research: A proof of concept study. International Journal of Qualitative Methods, 18. 

O’Kane, P., Smith, A., & Lerman, M. P. (online first, 2019). Building transparency and trustworthiness in inductive research through computer-aided qualitative data analysis software. Organizational Research Methods.