Abstract
Cooperation is increasingly required to craft solutions to complex problems in our society, while the role of cultivated, academic expertise is being challenged as a model for solving social problems. Participatory or community-based approaches are often suggested as a solution to this dichotomy; however, few analytic methods are purposefully engineered to support this work. Affinity networks combine interviewing with data visualization to produce data analysis that can be easily fed back into collaboratives with community partners. This article provides a step by step introduction to producing affinity networks using Computer Assisted Qualitative Data Analysis Software, as well as suggestions for using them to advance community partnerships.
| Original language | English |
|---|---|
| Article number | 11 |
| Pages (from-to) | 1361-1372 |
| Number of pages | 12 |
| Journal | Qualitative Report |
| Volume | 24 |
| Issue number | 6 |
| State | Published - Jun 2019 |
Keywords
- Affinity Networks
- CAQDAS
- Community-Based Research
- NVivo
- Research-Practice Partnership
- University-Community Partnership
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