Analyzing qualitative data

Sheelagh Carpendale, Søren Knudsen, Alice Thudt, Uta Hinrichs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017
PublisherACM
Pages477-481
Number of pages5
ISBN (Electronic)9781450346917
DOIs
Publication statusPublished - 17 Oct 2017
Event2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017 - Brighton, United Kingdom
Duration: 17 Oct 201720 Oct 2017
Conference number: 12
http://iss2017.acm.org/

Conference

Conference2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017
Abbreviated titleACM ISS 2017
Country/TerritoryUnited Kingdom
CityBrighton
Period17/10/1720/10/17
Internet address

Keywords

  • Coding
  • Data analysis
  • Evaluation
  • Qualitative studies

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