The Visual Sociogram in Qualitative and Mixed-Methods Research
Author(s) -
Tubaro Paola,
Ryan Louise,
D'angelo Alessio
Publication year - 2016
Publication title -
sociological research online
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 49
ISSN - 1360-7804
DOI - 10.5153/sro.3864
Subject(s) - visualization , qualitative research , intersection (aeronautics) , process (computing) , data science , visual methods , social research , qualitative property , computer science , multimethodology , sociology , management science , human–computer interaction , psychology , social science , cognitive science , data mining , engineering , machine learning , operating system , aerospace engineering
The paper investigates the place of visual tools in mixed-methods research on social networks, arguing that they can not only improve the communicability of results, but also support research at the data gathering and analysis stages. Three examples from the authors’ own research experience illustrate how sociograms can be integrated in multiple ways with other analytical tools, both quantitative and qualitative, positioning visualization at the intersection of varied methods and channelling substantive ideas as well as network insight in a coherent way. Visualization also facilitates the participation of a broad range of stakeholders, including among others, study participants and non-specialist researchers. It can support the capacity of qualitative and mixed-methods research to reach out to areas of the social that are difficult to circumscribe, such as hidden populations and informal organisations. On this basis, visualization appears as a unique opportunity for mixing methods in the study of social networks, emphasizing both structure and process at the same time.
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