The Relationship Between the Leadership Styles and the Organizational Climate in Public Schools in Amman
Bibliographic record
Abstract
This study aimed at identifying the prevailing leadership styles of managers, the organizational environment prevailing in the public schools in Amman, furthermore the relation between these leadership styles and the organizational climate. Thus, the researchers used the descriptive approach on a sample consisting of (55) teachers of the physical education in these schools, of experience between (10-15) years. Collecting the study data, a questionnaire of the leadership style (Shehadeh, 2008) was used after been modified. It consisted of (2) domains (the dictatorial style, the democratic style) with (15) paragraphs. In addition, the questionnaire of (Ahmed, 2008) was modified to measure the organizational climate. It consisted of (4) domains (communication, organization, working conditions, administrative laws) with (20) paragraphs. However, the five-dimensional Likert scale was used in both tools. The results showed that the dominant pattern in the public schools in Amman is the dictatorial pattern, with mean average of (4), which affected the organizational climate in these schools of an average effect of (2.79). The results also showed a positive correlation between the democratic leadership and the organizational climate (0.61). Accordingly, this research concluded that the leadership style based on consultation, participation in decision-making and teachers’ personal value esteem has a significant role in the organizational climate.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".