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