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Development and psychometric analyses of a mentee competency self-assessment (MCSA) tool
So Hee Hyun1, Jonathan M Orsini2, Kimberly Spencer3
1Institute for Clinical and Translational Research, University of Wisconsin-Madison, USA.
Journal of Clinical and Translational Science
|April 27, 2026
Summary
This study developed the Mentee Competency Self-Assessment (MCSA) to evaluate mentee skills in research mentoring. The 22-item MCSA-22 tool effectively measures mentee competencies, enhancing understanding of mentoring dynamics.
Area of Science:
- Mentoring research
- Psychometric analysis
- Educational assessment
Background:
- Research mentoring relationships are crucial for career development.
- Assessing mentee competencies is vital for effective mentorship.
- Existing tools may not fully capture mentee skill development.
Purpose of the Study:
- To develop and psychometrically analyze the Mentee Competency Self-Assessment (MCSA).
- To evaluate the efficacy of the Mentoring Up curriculum.
- To enhance understanding of mentoring dynamics by assessing mentee skills.
Main Methods:
- Developed a 26-item MCSA based on the Mentoring Competency Assessment (MCA).
- Collected data from 401 mentees attending Mentoring Up workshops (2015-2022).
- Utilized principal component analysis (PCA) and confirmatory factor analysis (CFA) for psychometric evaluation.
Main Results:
- Factor analysis supported an eight-component structure for a 22-item MCSA (MCSA-22).
- All components showed significant parameter estimates.
- Internal consistency (Cronbach's alpha = 0.58-0.90) was acceptable to high.
Conclusions:
- The 22-item MCSA is a validated tool for measuring mentee mentorship skills.
- The MCSA-22 is suitable for assessing the Mentoring Up curriculum.
- Further replication and scale development are recommended.
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