Relationship between Head of Department Leadership Styles and Lecturers Job Satisfactions in Nigerian Public Universities
Bibliographic record
Abstract
The Study, relationship between leadership styles and job satisfaction among the head of department and lecturers of Nigerian public universities is definitely a problem of an accelerating importance towards the higher learning institution within their preparation to complete their mission to become a first class university.A highly effective leadership style, along with a reliable labor force appeared to become a decisive importance for any university to have the ability to compete in quality and also to accompany the changes. At the moment, the empirical linkages between the head of department leadership styles and job satisfaction among lecturers in Nigerian public universities aren't fully established by past researchers.Therefore, it is the aim of this study to investigate the relationship between the selected independent variables; leadership styles (transformational, transactional, lasseir-faire) and job satisfaction as the dependent variables, determines the common leadership style that is commonly used by the head of the department, and determines the level of job satisfaction among the lecturers. The research design was descriptive correlational study and data were collected employing questionnaires. The study utilized simple random sampling methods to select 217 lecturers with the response rate of 91.7% from the population of Nigerian lecturers studying at three research universities in Malaysia.The findings showed that lecturers job satisfaction is high and also the descriptive statistics revealed that the most commonly used leadership styles among the head of department of Nigeria public university is transformational leadership styles, with the highest mean of 3.9032. The result obtained from the correlational analyses revealed that there is a significant relationship between leadership styles of the head of department and lecturers job satisfaction in public universities in Nigeria. The present study contributes useful information for educational leaders and researchers in the field of human resource development.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".