New Graduate Nurses’ Professional Commitment: Antecedents and Outcomes
Bibliographic record
Abstract
PURPOSE: This study examines the factors that increase new graduate nurses' professional commitment and how this professional commitment in turn affects professional turnover intentions, anxiety, and physical health symptoms. DESIGN: The study was carried out in association with the nursing undergraduate's affiliation of Quebec, Canada. A three-wave longitudinal design was employed among nursing students. Nurses were surveyed before they entered the labor market, and then twice after they started working. METHODS: Participants were contacted by post at their home address. The hypotheses were tested using structural equation modeling. FINDINGS AND CONCLUSION: Professional commitment explains why good work characteristics and the provision of organizational resources related to patient care reduce nurses' anxiety and physical symptoms, and increase their professional turnover intentions. Pre-entry professional perceptions moderate the effects of work characteristics on professional commitment such that when participants hold positive pre-entry perceptions about the profession, the propensity to develop professional commitment is higher. CLINICAL RELEVANCE: There is a worldwide shortage of nurses. From a nurse training perspective, it is important to create realistic perceptions of the nursing role. In hospitals, providing a good work environment and resources conducive to their professional ethos is critical for ensuring nurses do not leave the profession early on in their careers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".