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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Narrative analysis: how students learn from stories of practice
1Buckinghamshire New University, Uxbridge, UK.
Nurse Researcher
|January 23, 2016
Summary
This study recommends data analysis methods for narrative research in nursing education. It provides strategies for analyzing stories to enhance understanding of student learning experiences.
Area of Science:
- Nursing Education Research
- Qualitative Data Analysis
- Narrative Inquiry
Background:
- Narrative research is common in nursing studies.
- Analysis and interpretation processes in narrative research are often unclear.
- Lack of specificity hinders rigorous application of narrative methods.
Purpose of the Study:
- To describe and recommend data analysis methods for narrative research.
- To support nursing students' learning through story-based inquiry.
- To enhance the understanding of clinical experiences via narrative analysis.
Main Methods:
- Examines qualitative analytical approaches (holistic content, analysis of form).
- Integrates work from various authors for a comprehensive process.
- Utilizes descriptors from literature and initial text for analysis cycles.
- Emphasizes rigor, transparency, and structured reporting.
Main Results:
- Narrative analysis can be complex but rewarding.
- Multiple analytical perspectives enhance insight into student learning.
- Clear descriptors and structured analysis improve data management.
- Rigorous methods yield richer understanding of nursing student experiences.
Conclusions:
- Multiple narrative analysis approaches exist in nursing research.
- No single method is universally best; combinations are effective.
- Transparent and rigorous analysis is crucial for valid findings.
- Narrative analysis offers valuable insights into nursing education.
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