A fused mixed-methods approach to thematic analysis of personal networks: Two case studies of caregiver support networks

Abstract

Thematic analysis of personal networks involves identifying regularities in network structure and content, and grouping networks into types/clusters, to allow for a holistic understanding of social complexities. We propose an inductive approach to network thematic analysis, applying the learnings from qualitative coding, fused mixed-methods analysis, and typology development. It involves framing (changing focus by magnifying, aggregating, and graphical configuration), pattern detection (identification of underlying dimensions, sorting, and clustering), labeling, and triangulating (confirmation and fine-tuning using quantitative and qualitative approaches); applied repeatedly and emergently. We describe this approach utilized in two cases of studying support networks of caregivers.

Loneliness in the presence of others: A mixed-method study of social networks of caregivers of patients with severe mental disorders

“…A mixed-methods approach was applied to interpreting network maps (Yousefi Nooraie, Thompson et al, 2021). This approach uses an inductive and exploratory technique to interpret the meaning of the network maps iteratively.…”

“…Selectivity of individuals in the network. We analyzed the structural patterns of caregivers' social networks using a mixed-methods approach which is described elsewhere in detail (Yousefi Nooraie, Thompson, et al, 2021). Overall, we found that the majority of support networks were loosely connected and predominantly involving family members as only or the main sources of support.…”