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Updated: Jun 11, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Evaluating qualitative data analysis workshops from the perspective of public contributors
Alice Moult1, Carmel McGrath2,3,4, Kate Lippiett5
1Impact Accelerator Unit, Keele University, Newcastle-under-Lyme, ST5 5BG, UK. a.moult@keele.ac.uk.
Background:
The aim of this project is to evaluate public contributors' experiences of their involvement in qualitative data analysis workshops during an on-going research project titled 'Personalised Primary care for Patients with Multiple long-term conditions'.
Methods:
Four qualitative data analysis workshops were designed and conducted between August and December 2023. We used the Cube evaluation framework (henceforth referred to as the Cube) to evaluate the workshops. The Cube suggests four domains for successful PPI (voice, agenda, change, contribute).Within Workshops One, Two and Three public contributors had to login to an account to access the Cube; this was modified in Workshop Four following feedback from public contributors.
Findings:
Across the four workshops the Cube was completed 11 times. Across all four workshops, public contributors thought that their voice was heard, that there were diverse ways to contribute and that they led the agenda. Public contributors thought that researchers responded to their questions and issues, when necessary.
Conclusion:
This evaluation has shown that public contributors can gain new skills and lead qualitative data analysis discussions.
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