Preceptors' Subjective Competency Ratings in Acute Care Hospitals in Taiwan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: This study focused on developing a Subjective Competency Scale (SCS) in acute care hospitals and identified factors that affect preceptors' competency to precept new graduate nurses (NGNs). METHOD: This study was conducted in two stages that included collecting information on preceptor training courses and conducting a cross-sectional questionnaire survey. A total of 350 preceptors completed the survey in 2011. The validity and reliability of the SCS were determined. RESULTS: An SCS was developed using 22 items and five factors: teaching/assessment skills, interpersonal/communication skills, confidence/self-assurance, problem-solving/stress-coping skills, and self-reflection. These explained 69.73% of the variance. Cronbach's alpha for these five factors of scale ranged from .715 to .889. Preceptors' subjective competency was correlated positively with age, years as a nurse, years as a preceptor, willingness to be a preceptor, and self-rated relationship with NGNs (p < .001). CONCLUSION: The SCS exhibited high validity and reliability; therefore, it can be used for future preceptors' subjective competency assessment and evaluation. [J Contin Educ Nurs. 2019;50(2):69-78.].
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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 | 0.001 | 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 it