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Between the lines: generating good qualitative data in studies involving persons with aphasia
Berit Arnesveen Bronken1, Marit Kirkevold
1University of Oslo/Hedmark University College, Norway. b.a.bronken@medisin.uio.no
ANS. Advances in Nursing Science
|May 7, 2013
Summary
Generating high-quality qualitative data from individuals with aphasia after stroke is challenging. A longitudinal nursing intervention enhanced data quality through continuity, trust, and iterative analysis.
Area of Science:
- Qualitative Research Methods
- Neuroscience
- Speech-Language Pathology
Background:
- High-quality data are crucial for qualitative research.
- Language impairments, such as aphasia post-stroke, can hinder data generation.
- Establishing data quality norms is vital for this population.
Purpose of the Study:
- To explore methods for generating high-quality qualitative data in individuals with aphasia.
- To discuss strategies for maximizing data generation within established quality norms.
- To leverage experiences from a longitudinal nursing intervention.
Main Methods:
- Longitudinal study design.
- Combination of research methods.
- Iterative data generation and analysis process.
Main Results:
- Continuity in the longitudinal design facilitated communication.
- Mutual understanding and trustful partnerships were enhanced.
- The iterative process supported data quality.
Conclusions:
- Longitudinal approaches can improve qualitative data generation in aphasia.
- Building trust and consistent communication are key to data quality.
- Iterative analysis strengthens the research process and findings.
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