The socialisation of new graduate nurses during a preceptorship programme: strategies for recruitment and support
Bibliographic record
Abstract
AIMS AND OBJECTIVES: The purpose of this study is to gain greater understanding of new graduate nurses' organisational socialisation and to help inform recruitment and support strategies for this population. To this end, it uses Van Maneen and Schein's theory of organisational socialisation to explore new graduate nurses' perceptions of role conflict, role ambiguity, job satisfaction and turnover intent at the end of their preceptorship programme. BACKGROUND: The literature on new graduate nurses reflects concerns with high turnover rates during early work experiences. Under-preparation of and lack of support for new graduate nurses are often-reported reasons for these high turnover rates. Preceptorship programmes have been implemented to specifically address these challenges. DESIGN: This study uses a cross-sectional multisite design with a survey. METHODS: A sample of 45 new graduate nurses completed a quantitative survey at the end of their preceptorship programme. Descriptive statistics and Pearson's correlation analyses were conducted to explore the relationships. RESULTS: New graduate nurses in this study experienced low role ambiguity, role conflict and turnover intent and high job satisfaction. Their job satisfaction was associated with low role conflict and role ambiguity. Working in their first job of choice was related to less role conflict and role ambiguity. Having previous experience on the unit was not a meaningful variable. CONCLUSIONS: New graduate nurses who reported a greater understanding of their work roles and less role conflict and were working in their first job of choice were generally more satisfied with their job. Previous experience on the unit was not related to any of the socialisation outcomes in this study. However, the transition experienced during clinical placements and early work experiences may be different. RELEVANCE TO CLINICAL PRACTICE: The results of this study provide managers and educators with greater insight into the socialisation of new graduate nurses, as well as concrete strategies for recruitment and support.
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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 | 0.002 | 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 | 0.000 | 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 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".