The development and psychometric properties of a measure to assess the written submission of an admissions application
Bibliographic record
Abstract
Introduction: Health care programs evaluate prospective applicants using cognitive and non-cognitive criteria. The aim of this research was to develop and evaluate the psychometric properties of a measure to evaluate the non-cognitive criteria of admissions applications. Method: A Masters of Occupational Therapy Written Submission Measure (MOTWSM) was developed and evaluated over 3 phases, using applicants' written statements, resumes, and reference letters. Participants included 50 students who completed an occupational therapy program for determination of internal consistency and test-retest reliability. Additionally, 195 written submissions selected from the applicants who were admitted, waitlisted, and not admitted to the program were evaluated to determine inter-rater reliability using a two-way ANOVA. Analysis of 195 submissions using a one-way ANOVA determined the measure's discriminative validity. Findings: Results indicated test-retest reliability of 0.95 and internal consistency reliability of 0.76. Inter-rater reliability reported a Cronbach's alpha coefficient of 0.86 using a horizontal scoring method. Good discriminative validity was established. Conclusion: The MOTWSM is a reliable and valid measure that can be used to evaluate the non-cognitive criteria of admissions applications in health profession programs. Use of this measure can facilitate selection of the highest caliber of students.
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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 | 0.001 |
| 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) | 0.000 | 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".