The Validity of Standardized Interviews Used for University Admission Into Health Professional Programs
Bibliographic record
Abstract
In addition to the use of grade point average and academic background to assess candidates for admission into professional graduate programs, many university programs today use structured interviews to further assess candidates’ suitability. The Master of Occupational Therapy program at the University of Manitoba has in recent years adopted a standardized interview designed to capture specific psychometric characteristics of applicants considered relevant for scholarship in Occupational Therapy professional program. This study applied the Rasch Analysis Model to test the reliability and validity of the structured interview to determine whether the tool is invariant and fits the Rasch probabilistic model. A three-cohort interview data from 258 applicants were analyzed. The result indicates that the tool has high reliability (person separation index [PSI] = 0.8715), and was invariant across the participants. This Rasch analysis result supports the use of structured interview as an additional tool for students’ admission.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".