Making Sense of Qualitative Data Together

This session explores how patient and public involvement and engagement (PPIE) can enhance the analysis and interpretation of research data. Co-delivered by a public contributor experienced in co-producing research, the session begins with a case study of a co-produced meta-synthesis of qualitative literature. This example highlights the involvement of lay contributors across two different analytical methods—framework analysis (deductive, i.e., theory-driven) and meta-ethnography (inductive, i.e., data-driven)—and showcases the training and adaptations used to make these methods more accessible.

Participants will then take part in a hands-on exercise, where they will:

• Apply both inductive and deductive analytical approaches to a short qualitative text.
• Reflect on their perspectives and expertise in shaping interpretation.

To close, participants will discuss which stakeholders should be involved in analysis, and what adaptations may support more inclusive and meaningful involvement.

No prior experience in qualitative analysis is required.

This session will be delivered by:

• Raya Vinogradov
• Eleanor Holden

Reserve your place here.