Qualitative Research Methods: Data Coding and Analysis
A short course that will teach you how to analyze qualitative data.
Course Information
About this Course
This short course is adapted from a semester length graduate level course taught at MIT covering Qualitative Research Methods. The first half of the course is covered in 21A.819.1x, and covers an introduction to qualitative research and conducting interviews. This course consists of the second half of the course, and covers what to do with the data once you have started collecting it. This will include transcribing data, creating codes and codebooks, coding data, analyzing codes, and how to make sense of your analysis using existing and new theory.
You may have encountered other forms of data analysis in your studies and training. The form that we are teaching is the preferred method of Professor Silbey’s, one that she has used extensively throughout her career.
What you'll learn
- How to organize qualitative data for analysis
- How to create and use a codebook to code your data
- How to analyze qualitative data
Prerequisites
21A.819.1x Qualitative Research Methods: Interview Process
Meet your instructors
Susan Silbey
Leon and Anne Goldberg Professor of Humanities and Professor of Sociology and Anthropology
Professor Susan S. Silbey is the Leon and Anne Goldberg Professor of Humanities, Professor of Sociology and Anthropology, and Professor of Behavioral and Policy Sciences, Sloan School of Management at the Massachusetts Institute of Technology.
Silbey is interested in the governance, regulatory and audit processes in complex organizations. Her current research focuses on the creation of management systems for containing risks, including ethical lapses, as well as environment, health and safety hazards.
