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Q-Methodology: A Technique to Assess Perceptions in Simulation Research
1From the Department of Anatomy, University of California, San Francisco, San Francisco, CA. ORCID: https://orcid.org/0000-0003-2845-7136 .
Summary
Assessing learner perceptions in simulation is difficult. Q-methodology offers a systematic approach to measure subjective experiences in simulation-based learning, enhancing future research.
Area of Science:
- Medical Education
- Health Professions Education
- Simulation Research
Background:
- Assessing learner perceptions in simulation-based learning is crucial but often relies on limited qualitative methods.
- Understanding the subjective experiences of learners is vital for improving simulation effectiveness.
- Existing methods for evaluating the affective domain of simulation are often insufficient.
Purpose of the Study:
- To introduce Q-methodology as a robust technique for assessing subjective viewpoints in simulation.
- To demonstrate the application of Q-methodology in evaluating the affective domain of simulation-based learning.
- To explore the potential of Q-methodology for advancing simulation scholarship.
Main Methods:
- Review of Q-methodology principles and procedures.
- Application of Q-methodology to a hypothetical simulation-based learning scenario.
- Analysis of subjective data through factor analysis.
Main Results:
- Q-methodology provides a systematic framework to quantify subjective learner perceptions.
- The study illustrates how Q-methodology can capture nuanced affective responses in simulation.
- This approach moves beyond traditional qualitative assessments by integrating quantitative analysis.
Conclusions:
- Learner perceptions in simulation are complex and require advanced assessment tools.
- Q-methodology offers a valuable, systematic approach to measure subjectivity in simulation-based education.
- Further research should explore the broader implications and applications of Q-methodology in simulation scholarship.
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