Development and psychometric evaluation of the Job Demands in Nursing Scale and Job Resources in Nursing Scale: Results from a national study
Why this work is in the frame
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Bibliographic record
Abstract
AIM: To develop and test the psychometric properties of the Job Resources in Nursing (JRIN) Scale and the Job Demands in Nursing (JDIN) Scale. DESIGN: Cross-sectional survey. METHODS: A three-phase process of instrument development and psychometric evaluation was employed: Phase 1: development of a 42-item JRIN Scale and 60-item JDIN Scale through extensive literature review, expert consultation and an iterative content evaluation; Phase 2: pilot survey of 89 nurses and use of item discrimination analysis to estimate the internal consistency reliability of each subscale and reduce the length of each scale; Phase 3: Modified scales were tested in a nationwide survey of 3,822 rural/remote nurses, including use of exploratory factor analysis. RESULTS: The 24 items related to job resources favoured a six-factor structure, accounting for 63% of the variance, Cronbach's alpha 0.88. The 22 items related to job demands favoured a six-factor structure, accounting for 59% of the variance, Cronbach's alpha 0.84.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 it