Ethnographic Data Analysis
Methods and Practicum
In this course, students will learn the techniques and skills necessary to analyze and form theoretical arguments based on various forms of ethnographic data. These include, but are not limited to, interview data (both transcripts and digital audio), audio and video recordings of natural discourse or events, ethnographic archival data, websites, photos, etc.
Methods and Theory
Students will gain mastery in at least one qualitative data analysis software package (i.e., QSR Nvivo, MaxQDA, Dedoose), strategies, conduct cultural discourse analysis, apply traits an demographics to relevant sources, and learn to query coded datasets in order to build theoretical models from such data.
The skills students gain in this course will be applied to each student's corpus of data to develop a complete analysis that will (in most instances) form the basis of a thesis project.