R (R Development Core Team, 2011) is a powerful tool to analyze statistical data. In recent years R has gained popularity because the software is free and open source. However, evaluators and researchers do not exclusively use quantitative data. It is possible to perform qualitative analysis in R. Using data from a case study exploring a family psychoeducation recovery course, this article provides users a tutorial on how to perform a qualitative analysis and data visualization using R.


R, RQDA, Qualitative Research, Thematic Analysis

Author Bio(s)

Samantha Estrada is a graduate student at the University of Northern Colorado and adjunct faculty at AIMS Community College. Correspondence regarding this article can be addressed directly to: samantha.estrada@unco.edu.

Publication Date


Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.





To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.