Coding and Analysis
An overview of classic grounded theory coding techniques as well as current practices used in design.
The field of design began integrating social science methods for understanding users in the early 1990s. At first, the methods for data collection and data analysis were utilized in conjunction with one another, ensuring a tight relationship between the nature of the data collected and the means for processing it. Decades later, design has diverged and evolved its own approaches. Students will learn how to develop code lists, how to code data and how to conscientiously substitute other approaches when coding is not the best fit for the project.
Students will become conversant in both classic grounded theory coding and more design-driven analytic practices.
Students will emerge with a framework that organizes possible analytic strategies, enabling them to better choose analytic methods based on desired outcomes and design problems.
No prerequisites. Open to all students at the Institute of Design.