Development, administration, and validity evidence of a subspecialty preparatory test toward licensure: a pilot study
Bibliographic record
Abstract
BACKGROUND: Trainees in medical subspecialties lack validated assessment scores that can be used to prepare for their licensing examination. This paper presents the development, administration, and validity evidence of a constructed-response preparatory test (CRPT) administered to meet the needs of nephrology trainees. METHODS: Learning objectives from the licensing examination were used to develop a test blueprint for the preparatory test. Messick's unified validity framework was used to gather validity evidence for content, response process, internal structure, relations to other variables, and consequences. Questionnaires were used to gather data on the trainees' perception of examination preparedness, item clarity, and curriculum adequacy. RESULTS: There were 10 trainees and 5 faculty volunteers who took the test. The majority of trainees passed the constructed-response preparatory test. However, many scored poorly on items assessing renal pathology and physiology knowledge. We gathered the following five sources of validity evidence: (1) Content: CRPT mapped to the licensing examination blueprint, with items demonstrating clarity and range of difficulty; (2) Response process: moderate rater agreement (intraclass correlation = .58); (3) Internal structure: sufficient reliability based on generalizability theory (G-coefficient = .76 and Φ-coefficient = .53); (4) Relations to other variables: CRPT scores reflected years of exposure in nephrology and clinical practice; (5) Consequences: post-assessment survey revealed that none of the test takers felt "poorly prepared" for the upcoming summative examination and that their studying would increase in duration and be adapted in terms of content focus. CONCLUSIONS: Preparatory tests using constructed response items mapped to licensure examination blueprint can be developed and used at local program settings to help prepare learners for subspecialty licensure examinations. The CRPT and questionnaire data identified shortcomings of the nephrology training program curriculum. Following the preparatory test, trainees expressed an improved sense of preparedness for their licensing examination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.099 | 0.226 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".