Abstract
Segmentation is a crucial step in analyses of qualitative data where code or code co-occurrence frequencies are of interest. Decisions about how best to segment are inextricably connected to coding decisions, as well as wider analytical goals and research questions. These decisions directly affect resulting models and the interpretations derived from them. However, while there is a wealth of frameworks guiding code development and application, far fewer guidelines exist for segmentation. This paper reports on the development of an initial set of heuristics for the segmentation of monologic data. Using the framework of Epistemic Network Analysis, we demonstrate various approaches to segmentation and show how these segmentation decisions affect models and subsequent interpretations. We argue that segmentation should be aligned with research questions and developed in conjunction with coding, and we offer considerations and techniques for doing so.
Original language | English |
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Title of host publication | Advances in Quantitative Ethnography |
Subtitle of host publication | 4th International Conference, ICQE 2022, Proceedings |
Editors | Crina Damsa, Amanda Barany |
Publisher | Springer |
Pages | 163-181 |
Number of pages | 19 |
Volume | 1785 CCIS |
ISBN (Electronic) | 9783031317262 |
ISBN (Print) | 9783031317255 |
DOIs | |
Publication status | Published - 1 Jan 2023 |
Event | 4th International Conference on Quantitative Ethnography - Copenhagen, Denmark Duration: 15 Oct 2022 → 19 Oct 2022 Conference number: 4 https://www.icqe22.org/ |
Publication series
Series | Communications in Computer and Information Science |
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Volume | 1785 CCIS |
ISSN | 1865-0929 |
Conference
Conference | 4th International Conference on Quantitative Ethnography |
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Abbreviated title | ICQE 2022 |
Country/Territory | Denmark |
City | Copenhagen |
Period | 15/10/22 → 19/10/22 |
Internet address |
Keywords
- Data Segmentation
- Epistemic Network Analysis
- Methodology