Analyzing qualitative data
- Uta Hinrichs,
- Sheelagh Carpendale,
- Søren Knudsen,
- Alice Thudt
- University of St Andrews,
- University of Calgary
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Original language
EnglishPages from-to (Number of pages)
Pages 477-481 (5 pages)Publication milestones
- Published - 17/10/2017
Publication status
Published - 17/10/2017
Publisher
Association for Computing Machinery, United StatesPublication IDs
- Scopus: 85034782394
Host publication title
Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017Abstract
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.
Publication metrics
PlumX, opens in new tab
Captures
5807
Citations
18
