Anthropology
 

Ethnographic Data Analysis

Ethnographic Data Analysis
Systematic text analysis of interview data, audio, video, and survey data. Grounded theory and content analysis. Coding methods and codebook development/management. Developing an empirically grounded analysis of qualitative or mixed-methods data. Using qualitative data analysis software.
ANTHR
443
 Hours3.0 Credit, 3.0 Lecture, Arr Lab
 PrerequisitesANTHR 442
 RecommendedAnthr 495R.
 NoteFor sociocultural anthropology majors, Anthr 495R is most appropriate after thesis fieldwork is complete and data is ready for analysis.
 TaughtFall
 ProgramsContaining ANTHR 443
Course Outcomes: 

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.

Thesis Project

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.