Dancing on the Catwalk: Qualitative Data Analysis Using Music Coding

Krystal Rawls, California State University, Dominguez Hills (United States)
Email: kmrawls@csudh.edu

Sharonda Bishop, Cal Poly Pomona (United States)
Email: snbishop@cpp.edu

Shammi Gandhi, New Mexico State University (United States)
Email: sgandhi@nmsu.edu

Craig Seal, California State University, San Bernardino (United States)
Email: cseal@csusb.edu

Nare Khodadadians, University of Southern California (United States)
Email: nare.khodadadians@gmail.com

Keywords: content analysis, qualitative data analysis software, problem-solving

Abstract: For a long time, data analysis has been associated with quantitative research. However, students can also benefit from qualitative analysis, which requires a deeper understanding of the meaning and relationship of concepts. This experiential exercise illustrates how quantitative content analysis can be taught through a fun and engaging activity regarding student music playlists. In addition, we will demonstrate how to use one popular qualitative software tool, NVivo, which is often accessible to colleges and students. The session provides an innovative teaching activity that can be adapted to any classroom situation and will help to build bridges between students, instructors, and data.