Qualitative Data Analysis: The Basics
Using an asynchronous online format, this workshop will be covering the basics of qualitative data analysis. Participants will learn building block techniques, such as theme identification and codebook development, which can be used across many analytic traditions. The course takes a hands-on approach, and uses both lectures and activities where participants analyze real data. While the emphasis is on building conceptual and methodological expertise, participants will also learn how to use text analysis software. This workshop is appropriate as an introduction for scholars new to text analysis and as a refresher for more established scholars looking to brush up on their skills. The techniques are particularly useful for researchers using mixed-methods, interdisciplinary, collaborative, or team-based approaches. Participants will complete the course with the basic skills to initiate a text analysis.
Last day to register April 30th
Instructor: Dr. Amber Wutich
Amber Wutich is a Presidents Professor, Professor of Anthropology and Director of the Center for Global Health in ASU’s School of Human Evolution and Social Change. She has been recognized as Carnegie CASE Arizona Professor of the Year and received ASU's Faculty Achievement Award for Excellence in Classroom Performance. Prof. Wutich teaches in ASU’s Ph.D. programs in Global Health, Environmental Social Sciences, and Cultural Anthropology. She also teaches text analysis in courses supported by the National Science Foundation.
This workshop is asynchronous, and can be accessed from March 29th - May 15th
May 3rd - Live Zoom Q&A with Dr. Wutich
Q&A Time: 8:45am - 9:45am via Zoom Meeting (to be sent out a few days before session)
Workshop Fee $50
Note: Please evaluate your time constraints before committing to more than one data analysis workshop per offering. These courses are offered both fall (August-September) and Spring (April-May) semesters. The courses are only open for the time frame above.
Workshops are open to faculty, staff, graduate students and undergraduate students both ASU and the non ASU community.