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Adapting interpretative phenomenological analysis: a multilayered perspectival design for health research
Anita R Chonzi1, Russell J Ashmore2, Sarah K Smith3
1Sheffield Hallam University College of Health, Wellbeing and Life Sciences, Sheffield, England.
This study introduces a multilayered perspectival Interpretative Phenomenological Analysis (IPA) design. It enhances inclusivity and captures diverse, relational experiences for person-centred care.
Area of Science:
- Qualitative Research Methods
- Phenomenology
- Nursing Research
Background:
- Interpretative Phenomenological Analysis (IPA) is advancing to study complex experiences.
- Current multiperspectival IPA designs often limit relational and contextual diversity by focusing on single groups.
Purpose of the Study:
- To introduce a novel multilayered perspectival IPA design.
- To integrate distinct participant groups for enhanced inclusivity and diverse perspectives.
Main Methods:
- A sequential design progressing from individual to dyadic, group, and whole-group interpretations.
- Triangulation across analytical layers to identify meaning-making convergences and divergences.
- Utilizing a dyadic lens to explore shared experiences.
Main Results:
- The design maintains IPA's idiographic focus while incorporating relational dynamics.
- Reveals convergences and divergences in meaning-making through cross-layered triangulation.
- The dyadic perspective effectively captures how individuals make sense of shared experiences.
Conclusions:
- Multilayered perspectival IPA is a flexible and rigorous approach.
- Enhances IPA's translational potential for evidence-based, person-centred nursing interventions.
- Guides tailored interventions for individuals and care contexts, promoting responsive practice.
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