Relationship of School Leadership with School Outcomes: A Meta-Analysis Study
Bibliographic record
Abstract
Administration and governance of schools in Turkey have a complex structure and process. Within the centralized structure, the procedures in educational activities are managed by school principals. In the Turkish literature, there are studies showing leadership styles of school leaders based on the leadership theories borrowed from different contexts. Furthermore, these leadership styles are linked to school outcomes like academic achievement and teacher motivation. Thus, catching compatible sides of leadership theories may serve to improve this kind of school outcomes. In these respects, the current study aimed to investigate which leadership styles have more effect on academic achievement and teacher motivation. Exclusion and inclusion criteria were determined in order to identify the studies to be analyzed. A meta-analysis study including 21 studies in Turkish context was conducted to achieve the purpose of the study. The meta-analysis results showed that the leadership styles were highly related with the school outcomes. Overall, laissez-faire, transactional, instructional, and transformational leadership styles had a high and positive relation with the school outcomes. The laissez-faire and spiritual leadership styles showed more effect on the teacher motivation while the positive and transformational style had more effect on the academic achievement. Considering the conclusions of the study, it is recommended that future studies develop a leadership theory specific to the educational settings in Turkey.
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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 | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.031 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".