Value of the Manual Dexterity Test as a Screening Tool for Dental School Admissions
Bibliographic record
Abstract
The Manual Dexterity Test (MDT) was originally developed in the 1940s as part of the American Dental Association's Dental Aptitude Test to assist in reducing high attrition rates in U.S. dental schools. The Perceptual Motor Ability Test (PMAT) replaced the MDT in 1972 in the U.S., but the MDT continues to be available in Canada. The MDT was originally developed to be used as a screening tool to eliminate those applicants who demonstrated poor psychomotor skills, and it was very effective in doing so. The MDT has been subsequently criticized for not being an effective predictor of performance in dental school. The aim of this study was to determine the level of correlation between MDT scores and psychomotor skills assessment scores in preclinical psychomotor skills courses in the DDS program at Dalhousie University. Three key preclinical psychomotor skills courses were identified, and their course coordinators were asked to identify students who had been accepted into the program but had extremely weak psychomotor skills. Those students' psychomotor skills scores were then compared to their MDT scores. The results showed that when the student had an MDT score of 10 or less, there was high sensitivity (though low specificity) in identifying students with extremely weak psychomotor skills. Those students with MDT scores of 11 or above were unlikely to have difficulties in psychomotor skills courses. These findings support the MDT's use as a screening tool in the admissions process and a minimum cut-off score of 11 out of 30.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".