The Center for Ethnographic Research (CER) Summer Workshop provides mentorship, hands-on research experience, and advanced training in designing and executing a project using qualitative methods for motivated undergraduates and beginning graduate students. The CER Summer Workshop will provide students with six weeks of intensive accelerated methodological training in the design and practice of qualitative methods in weekly seminars taught by CER visiting scholars and graduate fellows. The topics in the seminars include the following:
In addition to these weekly seminars, each CER student is assigned a graduate student mentor. Mentors provide feedback on research project development and design. Mentors also offer supplemental information sessions on graduate school and graduate school application preparation.
The CER Summer Workshop expects students to develop and sustain an empirical research project for an honors thesis, advanced methods class, scholarly article, or conference presentation. In this process, students develop hands-on research and logistical experience and receive structure and guidance in the development of an independent and original project. Learn more here.
This workshop will provide both a conceptual background and practical experience in computer assisted qualitative data analysis (CAQDA) using ATLAS.ti. The workshop begins by examining the core elements common to all CAQDA, regardless of methodological orientation, discipline/profession, or platform. After instruction in the fundamental aspects of CAQDA, the course turns to the logic of the ATLAS.ti program, and how it functions as a tool for CAQDA. The workshop consists of both instruction and hands-on exercises in ATLAS.ti. By the end of the course, participants will have all the conceptual and practical tools necessary to employ ATLAS.ti in their current or future projects involving qualitative data.
Topics covered include: 1. How to perform the fundamentals of computer aided qualitative data analysis in ATLAS.ti, 2. The specific strategies necessary for dealing with different types of data including ethnographic field notes, in-depth interviews, texts, audio, video, and documents, 3. How to organize your data set, 4. How to construct and deploy a coding scheme for your project, 5. Making the best use of memos, 6. Inductive and deductive strategies for investigating substantive relationships in your data, 7. The query tool and reverse polish notation, 8. Using ATLAS.ti for team projects, and 9. Advanced functions in ATLAS.ti (e.g. networks, geocoding, quantitative output, supercodes and snapshots, co-occurrence functions, tools for inter-coder reliability, etc.). Learn more here.