The Role of Leadership Practices on Job Stress among Malay Academic Staff: a Structural Equation Modeling Analysis
Bibliographic record
Abstract
Globalization brings change in all aspect of human life, including in how job and organization operate. All of these changes create much strain and stress not only among employee at business organization, but also among academic staff. The dean of faculty or department at university has important role in prevent the effects of job stress among their academic staff by giving support, motivation, and creating policy to reduce job stress. This study aims is to examine the role of leadership practices with job stress among Malay academic staff. Design of this study is survey research with quantitative approach. As many 124 participants fill in the questionnaires. Data will be analyzed with structural equation model method using Amos 18 program. The result of structural equation modeling suggests that four dimension of leadership practices show unique relationship pattern with four dimension of job stress. The significant relationship between exogenous and endogenous was tested using structural equation modeling (SEM). The result of SEM analysis just confirms three exogenous variables that significantly have relationship with endogenous variables. Those are dimension of challenging the process with behavioral, emotional, physiologic and cognitive stress responses. Enabling others to act with emotional stress response, and the last, encouraging the heart with behavioral stress response. While inspiring a shared vision is not have significant relationship with all dimension of job stress. Overall, the proposed model has a well fit model with empirical data. The mechanism of relationship among exogenous and endogenous variables will be discussed in a paper below.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".