The novice objective structured clinical evaluation tool: psychometric testing
Bibliographic record
Abstract
AIM: This paper is a report of a study of the psychometric properties of the Novice Objective Structured Clinical Evaluation Tool. BACKGROUND: A collaborative undergraduate nursing programme is currently using an objective structured clinical evaluation at the conclusion of the first nursing clinical course to determine student competence as a component of quality and safety education. However, the reliability and validity of the assessment tool has not been established. METHODS: Psychometric testing was conducted with a convenience sample of 565 nursing students. Data were collected during three consecutive years from 2002 to 2004. Exploratory factor analysis and reliability testing were conducted on this 25-item tool. RESULTS: Principal axis factoring method identified two factors through the orthogonal, oblimin and promax rotations: Factor 1 Safety and Factor 2, Anticipation. Spearman-Brown's result for Factor 1 was 0·93 and for Factor 2 was 0·77. Cronbach's alpha was.94 for Factor 1 and 0·71 for Factor 2. CONCLUSION: The tool was found to have adequate construct validity and reliability. Its stability should be tested by conducting test-retest analysis. Equivalency dimensions of reliability should be evaluated by looking at interrater reliability. This tool shows merit for assessing elements of quality and safety education.
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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 | 0.003 | 0.006 |
| 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 | 0.001 |
| 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".