Investigation of the Relationship Between the Sports Status of Secondary School Students and Their Emotional Intelligence Levels
Bibliographic record
Abstract
The aim of this study is to investigate the sports status and emotional intelligence levels of secondary school students. 1027 secondary school students participated in the research. As a data collection tool in the research; personal information form, parent consent form and voluntary consent form were used. In measuring the emotional intelligence levels of students, a 60-item measurement tool developed by Bar-on, applicable to children and adolescents was used, and the scale was adapted to Turkish by Köksal (2007). Descriptive statistics, ANOVA and t-test techniques were used in the analysis of the data. As a result of the analyses, there was a statistically significant difference in interpersonal, adaptability and positive effect (p < 0.05) of the emotional intelligence sub-dimensions and the gender variable. When the emotional intelligence levels of the students were analyzed according to the variable of sports status, a significant difference was observed in the adaptability dimension and in the total score of emotional intelligence in favor of those who exercise sports (p < 0.05). When the emotional intelligence levels of the students were examined according to the class level variable, there were significant differences in the total score of emotional intelligence, stress management and adaptability (p < 0.05). Moreover, in the examination of the emotional intelligence levels of the students according to their mother’s education levels, a significant difference was found only in the adaptability dimension (p < 0.05). For their father’s education levels, there was a significant difference in the interpersonal and the adaptability dimensions (p < 0.05).
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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 | 0.000 |
| 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".