The Degree to Which Secondary School Teachers in Public Schools Accept the Use of Transformative Leadership by Their Principals from Their Perspective
Bibliographic record
Abstract
The study aimed at identifying the degree to which secondary school teachers in public schools accept the use of transformative leadership by their principals from their perspective. The study used the descriptive method, and developed a questionnaire containing (20) paragraphs. The validity and reliability of the study tool has been verified. The study population contains the working teachers of high schools of the first semester of the academic year 2017-2018. They were taken among secondary public schools at Zarqa Education Principalate II. A random sample of 250 teachers was taken. The study concluded the following results:- The mean averages and standard deviations showed that the degree to which secondary school teachers in public schools accept the use of transformative leadership by their principals from their perspective was moderate. Therefore, the study recommends that teachers be introduced to the importance of transformative leadership and give training courses to activate the application of transformative management in secondary public schools.- There are statistically significant differences in the grades of study's sample of the degree to which secondary school teachers in public schools accept the use of transformative leadership by their principals from their perspective due to gender variable that was in favor of males. Therefore, the study recommends holding training courses for secondary school teachers to apply in their schools.- There are statistically significant differences in the grades of study's sample of the degree to which secondary school teachers in public schools accept the use of transformative leadership by their principals from their perspective due to experience variable. Therefore, the study recommends that secondary school teachers in public schools should be informed of their experience from 1-10 years on this style of leadership.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Survey of teachers on principals' transformative leadership; educational management.
The study examines teachers' acceptance of transformative leadership, not research practice.
Survey of teachers’ acceptance of principals’ transformative leadership; education administration.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".