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A Fused Mixed-Methods Approach to Thematic Analysis of Personal Networks: Two Case Studies of Caregiver Support Networks Publisher



Nooraie RY1 ; Thompson B2 ; Dsilva C2 ; Zenlea I2, 3, 4 ; Tabatabaee M5 ; Aghaei AM5
Authors
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Authors Affiliations
  1. 1. Department of Public Health Sciences, School of Medicine & Dentistry, University of Rochester, 265 Crittenden Blvd., CU 420644, Rochester, 14642, NY, United States
  2. 2. Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada
  3. 3. Division of Children's Health, Trillium Health Partners, Mississauga, ON, Canada
  4. 4. Department of Pediatrics, University of Toronto, Toronto, ON, Canada
  5. 5. Department of Psychiatry, Tehran University of Medical sciences, Tehran, Iran

Source: Network Science Published:2021


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. © The Author(s), 2021.