Scales used to evaluate critical thinking in nursing graduation
Bibliographic record
Abstract
Objective: To analyze the scales used to measure critical thinking in undergraduate nursing students.Methods: Scoping review guided by Joanna Briggs Institute recommendations. Search carried out in November/2021 in five databases and two libraries. Descriptive data analysis.Results: Final sample had 57 articles. 91% (n = 53) adopted a validated scale to measure critical thinking in nursing students, and 9% (n = 4) combined two of them. California Critical Thinking Disposition Inventory, California Critical Thinking Skills Test, and Health Science Reasoning Test were the most used scales. Studies with beginners prevailed, and there were several contexts and research themes. Simulation and concept mapping were the most evaluated teaching strategies, and 59.6% (n = 34) identified an increase in critical thinking after the intervention.Conclusions: Nursing managers and educators have 17 validated scales available to measure critical thinking, a fundamental element of clinical practice.
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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 | 0.022 | 0.087 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.024 | 0.016 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".