Analyzing Qualitative Data

被引:6
|
作者
Carpendale, Sheelagh [1 ]
Hinrichs, Uta [2 ]
Knudsen, Soren [1 ]
Thudt, Alice [1 ]
机构
[1] Univ Calgary, Calgary, AB, Canada
[2] Univ St Andrews, St Andrews, Fife, Scotland
基金
加拿大自然科学与工程研究理事会;
关键词
Evaluation; qualitative studies; data analysis; coding;
D O I
10.1145/3132272.3135087
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:477 / 481
页数:5
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