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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

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

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.

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