2023/09/07 by Kenneth R. Hanson, Nicholas Theis · 7 citations
Psychology · Social Sciences · #Artificial intelligence #Computational and Text Analysis Methods #Computer science #Data collection #Data science #Data visualization #Ethnography #Field (mathematics) #Focus Groups and Qualitative Methods #Knowledge management #Meaning (existential) #Psychology #Qualitative property #Social Media and Politics #Social science #Sociology #Visualization
paper · doi:10.1177/00811750231195338
published in Sociological Methodology 54(1), 142-156 (SAGE Publishing)
crossref issued 2023/09/07 · crossref published 2023/09/07 · crossref published-online 2023/09/07 · openalex publication_date 2023/09/07 · crossref created 2023/09/07 · crossref published-print 2024/02/01 · openalex created_date 2025/10/10 · crossref deposited 2026/05/01 · crossref indexed 2026/07/31 · openalex updated_date 2026/07/31
Researchers can use data visualization techniques to explore, analyze, and present data in new ways. Although quantitative data are visualized most often, recent innovations have brought attention to the potential benefits of visualizing qualitative data. In this article, the authors demonstrate one way researchers can use networks to analyze and present ethnographic interview data. The authors suggest that because many respondents know one another in ethnographic research, networks are a useful tool for analyzing the implications of respondents’ familiarity with one another. Moreover, respondents often share familiar cultural references that can be visualized. The authors show how visualizing respondents’ ties in conjunction with their shared cultural references sheds light on the different systems of meaning that respondents within a field site use to make sense of the social phenomena under investigation.