Should There Be A Part II ABPMR Examination?: A Psychometric Inquiry
Bibliographic record
Abstract
BACKGROUND: Certification by the American Board of Physical Medicine and Rehabilitation (ABPMR) requires passing both a written multiple choice examination (Part I) and an oral examination (Part II), but it has been unclear whether the two examinations measure the same or different dimensions of knowledge. OBJECTIVE: To evaluate the concordance between the Part I and Part II examinations for ABPMR initial certification with regard to candidate performance on the examinations and their subsets. Our question is whether the Part II examination provides additional assessment of a candidate beyond what Part I provides. DESIGN: Retrospective psychometric evaluation of deidentified board examination scores. SETTING: ABPMR database of Part I and Part II examination scores. PARTICIPANTS: Candidates for the ABPMR Part I and Part II examinations after 2005, with a more detailed analysis of candidates for the Part I examination from 2014 to 2016. Examination scores of candidates who took the Part II examination both before and after the examination was standardized in 2005 were also used for an additional analysis. METHODS: Correlations, simple linear regressions, and principal components analysis. MAIN OUTCOME MEASUREMENTS: Correlation coefficients, variance analysis, and unexplained variance in the principal components analysis. RESULTS: There is a weak to moderate correlation between performance on the Part I and Part II examinations: r = 0.33, P < .001. There is an additional dimension of assessment that is demonstrated on the Part II examination, with this being primarily in the domains of systems-based practice and interpersonal communication skills. CONCLUSION: The Part I and Part II examinations, although with some overlap, contribute different and meaningful components to the overall evaluation of candidates for board certification in PM&R. LEVEL OF EVIDENCE: III.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.042 | 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 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".