Coding interviews with Indian folk musicians
Aruna Ranganathan, Professor
Business, Haas School
Closed. This professor is continuing with Fall 2024 apprentices on this project; no new apprentices needed for Spring 2025.
This project examines the experiences of Qawwali musicians in India through open-ended interviews. We are in the early stages of analysis, so we are primarily looking for trends and creating categories from the data. So far we have identified broad effects of gender and identity on satisfaction and success for musicians.
Role: Much of the work for this project will require looking at interviews and their topic codes in a software called Atlas.ti. We will train you in the use of this relatively simple point-and-click (no coding required) software. Atlas.ti is the most commonly used software for analyzing qualitative data, meaning that understanding how to use it would be a highly valued skill in applications for jobs or graduate school.
Qualifications: An undergraduate who is interested in understanding the processes of interviewing, generating hypotheses, and interpreting and coding qualitative data would be a great fit for this project. Any majors are welcome to apply, but those in the social sciences, anthropology, and area studies departments are especially encouraged to submit.
Day-to-day supervisor for this project: Kristine Kay, Staff Researcher
Hours: 6-8 hrs
Social Sciences