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.
Affinity Networks, Community-Based Research, Research-Practice Partnership, University-Community Partnership, NVivo, CAQDAS
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Recommended APA Citation
Biddle, C., & Mette, I. (2019). Using Affinity Networks to Scaffold Community Collaboration: A Methodological Technique to Support the Use of Qualitative Data in Community-Based Research. The Qualitative Report, 24(6), 1361-1372. Retrieved from https://nsuworks.nova.edu/tqr/vol24/iss6/11