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Using the Framework Method for the Analysis of Qualitative Dyadic Data in Health Research
Nicole Collaço1, Richard Wagland1, Obrey Alexis2
1School of Health Sciences, University of Southampton, Southampton, United Kingdom.
This study introduces a new qualitative methodology for dyadic analysis, focusing on couples interviewed separately. It addresses challenges in analyzing relationship dynamics when partners provide individual perspectives, offering insights for researchers.
Area of Science:
- Qualitative Research Methods
- Health Psychology
- Sociology of Health
Background:
- Qualitative studies increasingly focus on dyadic relationships (e.g., couples, patient-caregiver).
- Limited methodology exists for dyadic analysis when partners are interviewed separately.
- Existing approaches often fail to capture the nuanced interplay within dyads due to separate data collection.
Purpose of the Study:
- To present a novel qualitative methodology for dyadic analysis of separately interviewed partners.
- To share practical knowledge and address challenges encountered in applying this approach.
- To offer a framework for analyzing dyadic data from a relational perspective.
Main Methods:
- Adaptation of the Framework method for dyadic qualitative data analysis.
- Application to data from a study on the impact of prostate cancer on younger men and their partners.
- Systematic examination and reflection on the analytical process and its challenges.
Main Results:
- Demonstration of a feasible and adapted Framework method for dyadic analysis.
- Identification of specific challenges in integrating and interpreting individual interviews within a dyadic context.
- Development of strategies for analyzing interview data from a dyadic viewpoint.
Conclusions:
- The adapted Framework method offers a viable approach for qualitative dyadic analysis with separately interviewed participants.
- This methodology enhances understanding of relational dynamics in health contexts, such as prostate cancer.
- Further research and methodological refinement are encouraged for dyadic qualitative analysis.
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