Analyzing Qualitative Data

Abstract

Evaluation is increasingly recognized as an essential component of HCI research. However, evaluation itself is a changing research area. In particular, the many variations of qualitative research are emerging as important empirical methods. This half-day tutorial is designed for beginning to intermediate audiences. We will focus on the basic methods for analyzing qualitative data using a mixture of talks and hands-on activities. In particular we will consider closed and open coding as well as clustering and categorizing coded data. After completing this tutorial, attendees will have a richer understanding of the benefits and challenges of qualitative empirical research and, more specifically, how to analyze qualitative data.

Citation

Sheelagh Carpendale, Søren Knudsen, Alice Thudt, Uta Hinrichs. Analyzing Qualitative Data. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces (ISS). Pages 477-481. http://dx.doi.org/10.1145/3132272.3135087

Paper

See innovis.cpsc.ucalgary.ca/qualitativeanalysis-iss-tutorial/ for more information and materials.