Analyzing Qualitative Data: Systematic Approaches

This five day course covers a range of methods for the systematic analysis of qualitative data, and is appropriate for scholars with beginning to intermediate skills. The course is particularly well suited to researchers interested in mixed-methods, interdisciplinary, collaborative, or team-based approaches to text analysis. The course covers the building blocks of qualitative analysis, including theme identification and codebook development. Examples of specific methods covered include content analysis, word-based analysis, and semantic network analysis.

The course takes a hands-on approach, and uses both lectures and labs where participants analyze real data. While the emphasis is on building conceptual and methodological expertise, participants will also learn how to use software to perform the analyses covered in the course. Participants will complete the course with the basic skills to conduct an independent analysis, lead a collaborative team, and teach an introductory course on text analysis.


May 6-10, 2013: 9:00am-12:00pm


Elinor Ostrom Multi-Method Lab (RM #124)
Cowdin Family Resources Building
850 S Cady Mall
Tempe, AZ 85281

Instructor: Amber Wutich

Amber Wutich (Ph.D., University of Florida) is an associate professor in ASU’s School of Human Evolution and Social Change. She teaches in ASU’s Ph.D. programs in Global Health, Environmental Social Sciences, and Cultural Anthropology. She received ASU’s 2011 Faculty Achievement Award for Classroom Performance and has taught graduate courses in text analysis, ethnographic field methods, social network analysis, and cultural domain analysis. She also teaches qualitative analysis in NSF Short Courses in Research Methods in Cultural Anthropology (for professors) and NSF Summer Institute for Research Design in Cultural Anthropology (for doctoral students).