Effect of Rational-Emotive Behavior Intervention on Managing Burnout Symptoms among Postgraduate Students in Public Universities
Bibliographic record
Abstract
Burnout symptom is an emotional and psychological imbalance commonly experienced by students of tertiary institutions. This unhealthy state of existence is capable of undermining the quality of health and academic performances resulting in exhaustion and disengagement. The current study therefore aimed to investigate the effect of rational-emotive behavior intervention -REBI on managing burnout symptoms among postgraduate students in public universities. This research was based on experimental design involving treatment and control groups. Using a purposive sampling technique, 92 study participants were recruited from the public universities in Nigeria from July 2019 and January 2020. The treatment intervention was delivered to only the experimental group with an evidence-based REBI manual. Data collection process was completed using the Oldenburg Burnout Inventory-student version -OLBIS with internal consistency of 0.77 index. The complete data analysis was done using SPSS version 22. The results indicated that no significant difference existed between the participants in the experimental (23.17±2.71) and control groups (21.69±2.80) on OLBI-S pretest, F=0.147, P=.738, h2p =0.014, DR2=0.709, SE=1.52. Statistically significant difference was found to exist between the participants in the experimental (11.43±4.17) and control groups (22.02±5.66) on OLBI-S posttest scores, F=2.081, P=0.041, h2p=0.105, DR2=0.706, SE=1.40. This study showed that REBI was effective in managing burnout symptoms among postgraduate students in public universities in Nigeria. The REBI is considered very effective in managing diverse emotional and psychological problems existing among students. There is need for enlightenment and massive health education on burnout and prospective ways of managing it.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Open science | 0.001 | 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".