Evidence for Validity and Reliability, and Development of Performance Standards and Cut-Scores for Job-Related Tests of Physical Aptitude for Structural Firefighters
Bibliographic record
Abstract
OBJECTIVE: This multi-part study aimed to revise an existing battery of physical aptitude tests for firefighter applicants. Test validity and reliability were evaluated and performance thresholds were determined. METHODS: In Part I, 49 structural firefighters rated the similarity between the physical demands of the tests and corresponding work activities. In Part II, 23 participants completed the tests on 3 separate days. In Part III, cut-scores were determined using the Bookmark method by an expert panel of 25 firefighter supervisors. RESULTS: Analysis revealed high levels of validity and reliability. The expert panel provided invaluable direction through a combination of independent and group work, leading to consensus on acceptable completion times. CONCLUSION: Rigorous processes established scientific credibility for the revised battery of tests. Expert knowledge from firefighter supervisors contributed to determining cut-scores following established scientific methods.
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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 | 0.000 |
| 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".