Analyzing qualitative data

Sheelagh Carpendale; Søren Knudsen; Alice Thudt; Uta Hinrichs

doi:10.1145/3132272.3135087

Analyzing qualitative data

Sheelagh Carpendale, Søren Knudsen, Alice Thudt, Uta Hinrichs

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017
Publisher	ACM
Pages	477-481
Number of pages	5
ISBN (Electronic)	9781450346917
DOIs	https://doi.org/10.1145/3132272.3135087
Publication status	Published - 17 Oct 2017
Event	2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017 - Brighton, United Kingdom Duration: 17 Oct 2017 → 20 Oct 2017 Conference number: 12 http://iss2017.acm.org/

Conference

Conference	2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017
Abbreviated title	ACM ISS 2017
Country/Territory	United Kingdom
City	Brighton
Period	17/10/17 → 20/10/17
Internet address	http://iss2017.acm.org/

Keywords

Coding
Data analysis
Evaluation
Qualitative studies

Access to Document

10.1145/3132272.3135087

Handle.net

Persistent link

Cite this

@inproceedings{bf0dfdb3937541efae575025aead3eb2,

title = "Analyzing qualitative data",

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.",

keywords = "Coding, Data analysis, Evaluation, Qualitative studies",

author = "Sheelagh Carpendale and S{\o}ren Knudsen and Alice Thudt and Uta Hinrichs",

year = "2017",

month = oct,

day = "17",

doi = "10.1145/3132272.3135087",

language = "English",

pages = "477--481",

booktitle = "Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017",

publisher = "ACM",

address = "United States",

note = "2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017, ACM ISS 2017 ; Conference date: 17-10-2017 Through 20-10-2017",

url = "http://iss2017.acm.org/",

}

TY - GEN

T1 - Analyzing qualitative data

AU - Carpendale, Sheelagh

AU - Knudsen, Søren

AU - Thudt, Alice

AU - Hinrichs, Uta

N1 - Conference code: 12

PY - 2017/10/17

Y1 - 2017/10/17

N2 - 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.

AB - 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.

KW - Coding

KW - Data analysis

KW - Evaluation

KW - Qualitative studies

UR - https://www.scopus.com/pages/publications/85034782394

U2 - 10.1145/3132272.3135087

DO - 10.1145/3132272.3135087

M3 - Conference contribution

AN - SCOPUS:85034782394

SP - 477

EP - 481

BT - Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017

PB - ACM

T2 - 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017

Y2 - 17 October 2017 through 20 October 2017

ER -

Analyzing qualitative data

Abstract

Conference

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this