Work

Segmentation and Code Co-occurrence Accumulation: Operationalizing Relational Context with Stanza Windows

Year: 2023

Type: conference-paper

Abstract: Depending on analytical goals and techniques, qualitative data may be coded and segmented to investigate code or code co-occurrence frequencies. As codes are relevant aspects of data vis-à-vis the topic of inquiry, segments are meaningful divisions of those data. To explore various modes of segmentation, their underlying assumptions, and effects on potential models, the framework and terminology of Epistemic Network Analysis was employed as an analytical tool where coding and segmentation both contribute to data visualization. Three operationalizations of segmentation are elaborated: moving, infinite, and whole conversation stanza windows and demonstrated through instances where each of these may be applicable to data.

Source: Communications in computer and information science

DOI: 10.1007/978-3-031-31726-2_11

Author: Szilvia Zörgő

Institutions: Maastricht University, Care and Public Health Research Institute

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

Funder: European Commission

Awards: Smart Online Searching To Increase Patient Safety, G434337789