A Study of the Effect of Education and Academic Environment on Emotional Intelligence on Accounting Students in Iran
Bibliographic record
Abstract
<p class="apa">The current study aims to investigate the relation between education and academic environment on emotional intelligence of accounting students in state and non-state universities in Iran.</p><p class="apa">In order to collecting data Bar-on emotional intelligence test and SCL 90 questionnaire administrated among 476 students in different subjects including accounting in both Bachelor and Master degrees in 2014. Pearson correlation coefficient, variance analysis test and covariance analysis employed for analyzing data.</p><p class="apa">The results of the study indicate that there is not a significant difference between changes of emotional intelligence scores in accounting students with non-accounting ones and also there is no meaningful difference between students of state and non-state universities in Iran.</p><p class="apa">The current study focuses on education and academic environment on emotional intelligence of accounting students which is the first study is conducted in Iran.</p>
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".