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Factor analysis validation of the student feedback questionnaire for the subcutaneous swelling simulation model
T Mohanapriya1, S Elilnambi2, Mahin Nallasivam3
1Department of General Surgery, Sri Ramachandra Medical College, Chennai, Tamil Nadu, India.
Journal of Education and Health Promotion
|January 23, 2026
Summary
A validated questionnaire effectively captures student feedback on subcutaneous swelling simulation models. This reliable tool assesses model fidelity and clinical competency, confirming its value for medical education enhancement.
Area of Science:
- Medical Education Technology
- Simulation-Based Learning
- Assessment and Evaluation
Background:
- Subcutaneous swelling simulation models are vital for hands-on medical training.
- Student feedback is crucial for refining these educational tools.
- This study validates a questionnaire for assessing student perceptions of these models.
Purpose of the Study:
- To validate a student feedback questionnaire for subcutaneous swelling simulation models.
- To ensure the questionnaire effectively captures student perceptions of simulation fidelity and clinical competency.
- To establish a reliable instrument for evaluating medical simulation effectiveness.
Main Methods:
- Developed a Student Feedback Questionnaire based on simulation model relevance.
- Administered the questionnaire to 265 students who used the simulation model.
- Utilized exploratory and confirmatory factor analysis for structural validation.
Main Results:
- Factor analysis confirmed a robust questionnaire structure with domains including fidelity and clinical competency.
- Students rated the simulation model highly and recommended it for future training.
- High factor loadings and a Cronbach's alpha of 0.91 indicated strong validity and reliability.
Conclusions:
- Factor analysis supports the multidimensionality of student feedback on simulation models.
- The validated questionnaire reliably identifies key aspects impacting student learning.
- A validated feedback instrument is essential for assessing subcutaneous swelling simulation models.
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