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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Predictive validity of the multiple mini-interview for selecting medical trainees
Kevin W Eva1, Harold I Reiter, Kien Trinh
1Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada. evakw@mcmaster.ca
Medical Education
|August 8, 2009
Summary
The multiple mini-interview (MMI) selection process demonstrates validity in predicting clinical skills examination performance. Cognitive and non-cognitive qualities appear less distinct as medical training progresses.
Area of Science:
- Medical Education
- Assessment and Evaluation
Background:
- The multiple mini-interview (MMI) is a selection tool used in medical education.
- Its validity and the stability of candidate performance require further investigation.
- The relationship between cognitive and non-cognitive qualities in assessments needs clarification.
Purpose of the Study:
- To validate the multiple mini-interview (MMI) selection process by comparing MMI scores with national clinical skills examination results.
- To assess the stability of candidate performance across MMI administrations.
- To explore the independence of cognitive and non-cognitive qualities throughout medical training.
Main Methods:
- Predictive validity was examined by matching MMI data with licensing examination data for undergraduate and postgraduate samples.
- Reliability coefficients were generated to assess the stability of candidate performance.
- Correlations between cognitive and non-cognitive measures were analyzed at different training stages.
Main Results:
- The median reliability of the MMI was 0.73 with 12 stations and one examiner per station.
- A significant correlation (r = 0.43 and r = 0.35) was found between MMI performance and licensing examination outcomes.
- The correlation between cognitive and non-cognitive assessments increased with training duration.
Conclusions:
- The study provides further evidence for the validity of the MMI in admissions decisions.
- Findings challenge trait-based models for capturing performance.
- The distinction between cognitive and non-cognitive qualities is context-dependent on the scope of practice.
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