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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

English

Pages 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 States

Publication IDs

  • Scopus: 85034782394

Host publication title

Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017

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Citation count
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