The Role of Hope and Self-efficacy on Nurses’ Subjective Well-being
Bibliographic record
Abstract
Although subjective well-being is considered important for nurses, the relationship between hope, self-efficacy, and subjective well-being among nurses has rarely been assessed. This study purposes to explore the relationships between hope, self-efficacy, and subjective well-being. The analysis relies on data from 1757 female nurses in 3 hospitals in China. Nurses completed a demographic form, General Self-efficacy Scale, Hope Scale, General Well-Being Schedule. A mediate model of the hypothesized relationships between the constructs was tested. Significant direct relationships of hope, self-efficacy, and subjective well-being were displayed. Mediation analyses reveal that the impact of self-efficacy on subjective well-being is partially mediated by two components of hope, agency and pathways. Hope was shown to be a key mediator for the relationships between self-efficacy and subjective well-being. These findings advance current understandings on the hopeful thinking in nurses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".