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Using fuzzy-set qualitative comparative analysis in clinical nursing research.
1Coach Lane Campus, Northumbria University Faculty of Health and Life Sciences, Newcastle upon Tyne, England.
Nurse Researcher
|March 31, 2026
Summary
Fuzzy-set qualitative comparative analysis (fsQCA) offers valuable insights in nursing research for complex interventions. This method aids in identifying best practices and supports theory development for further study.
Area of Science:
- Nursing Research
- Qualitative Comparative Analysis
- Clinical Research Methodology
Background:
- Fuzzy-set qualitative comparative analysis (fsQCA) is an underutilized analytical method in nursing research.
- fsQCA is a case-oriented method analyzing configurations of specific features within each case.
- This method offers a novel approach to understanding complex phenomena in clinical settings.
Purpose of the Study:
- Introduce fsQCA to the nursing research community.
- Demonstrate the value and limitations of fsQCA in clinical research.
- Explain the rationale for using fsQCA and identify beneficial research contexts.
Main Methods:
- Application of fuzzy-set qualitative comparative analysis (fsQCA).
- Case-oriented comparative analysis of feature configurations.
- Potential integration with process tracing for comprehensive analysis.
Main Results:
- fsQCA is advantageous for research questions addressing causal complexity.
- The method supports generalization by identifying case typologies.
- It is valuable for evaluating complex interventions like protocols and guidelines.
Conclusions:
- fsQCA effectively addresses research aims related to causal complexity and generalization.
- Practical challenges necessitate pairing fsQCA with methods like process tracing.
- fsQCA aids in identifying best practices and developing nursing theories.
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