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Using Learning Outcome Measures to assess Doctoral Nursing Education

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Using fuzzy-set qualitative comparative analysis in clinical nursing research.

Stuart John Barker¹

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.

Keywords:

data analysis methodology mixed-methods patient experience patient satisfaction qualitative research quantitative research research research methods study design

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Last Updated: Apr 1, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

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.