Analyzing qualitative data

Sheelagh Carpendale, Uta Hinrichs, Søren Knudsen, Alice Thudt, and Melanie Tory

Abstract

Evaluation is increasingly recognized as an essential component of visualization 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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Cite as
  1. Carpendale, Sheelagh, Uta Hinrichs, Søren Knudsen, Alice Thudt, and Melanie Tory. "Analyzing qualitative data." In IEEE VIS 2017 Tutorials (IEEE VIS) (2017)
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Bibtex
@inproceedings{carpendale2017analyzing-vis,
  title = {Analyzing qualitative data},
  author = {Carpendale, Sheelagh and Hinrichs, Uta and Knudsen, S{\o}ren and Thudt, Alice and Tory, Melanie},
  booktitle = {IEEE VIS 2017 Tutorials (IEEE VIS)},
  year = {2017}
}