Professional development, target-specific satisfaction, and older nurse retention
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
Purpose – Drawing from attitude-behavioral intentions correspondence and target similarity, the aim of this paper is to examine the role of target-specific satisfaction facets in the relationship between factors related to professional development and older nurses' intention to remain with their organization. Design/methodology/approach – In this longitudinal panel study, 422 hospital-employed registered nurses aged 45 to 64 completed a questionnaire (T1) and a second questionnaire (T2) a year later. Structural equation modeling was used to test the hypothesized model. Findings – Availability of training and development practices targeted to older nurses at T1 was linked to intention to remain with the organization at T2 through T1 satisfaction with professional development opportunities and T2 satisfaction with the organization as a whole. Job challenge at T1 was related to intention to remain through T1 satisfaction with the job itself and T2 satisfaction with the organization. Research limitations/implications – The occupation-specific sample may limit the generalizability of the findings. Practical implications – Organizations need to ensure that older nurses have the opportunity to upgrade their current job skills, to acquire new skills, to be adequately trained on the use of new technology, and to support professional development through release time, tuition reimbursement, and education leaves. Attention also needs to be directed towards job design and ensuring older nurses' jobs fully utilize their skills and expertise. Originality/value – The findings demonstrate that target-specific facets of satisfaction are an important underlying mechanism linking professional development factors and older nurses' intention to remain. Organizational satisfaction, an under-researched construct, played an especially prominent role in this process.
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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 | 0.000 | 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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