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
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.
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 2017Publication metrics
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Citation count
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