The relationship between transformational leadership and organizational learning culture in magnet and non-magnet hospitals
Bibliographic record
Abstract
The purpose of this study was to determine the relationship between transformational leadership and organizational learning culture in perioperative nursing units, and further, whether there was a difference in these relationships between hospitals with and without ANCC Magnet Recognition®. The study also explored whether there were significant differences between perioperative staff nurse perceptions of leadership and learning culture in Magnet and non-Magnet hospitals. Using a quantitative, correlational design, this study measured the responses of 1,121, board certified perioperative nurses to a survey comprised of items from the Multifactor Leadership Questionnaire (MLQ5X) (Avolio & Bass, 1995), the Dimensions of Learning Organization Questionnaire (DLOQ-A) (Watkins 1993; 1996), and select demographic questions including whether or not their hospital had earned the Magnet designation. Regression analysis and ANOVA findings indicated a strong, positive correlation between transformational leadership and organizational learning culture. This relationship persisted after adjusting for demographics and hospital characteristics. However, Magnet status did not have a moderating effect on this relationship. While Magnet hospitals had significantly higher total scores for both transformational leadership and learning culture than non-Magnet hospitals, the relationship between transformational leadership and learning culture was similar in both groups. These findings reinforce the beneficial effects of the ANCC Magnet Recognition Program® on nursing work environments, which have been shown to positively influence nursing recruitment, retention and patient outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".