Trait and Ability Emotional Intelligence in Children With ADHD
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to examine trait and ability emotional intelligence (EI) in children with ADHD. METHOD: Forty-one children with ADHD (9-11 years) completed two measures of EI-the Bar-On Emotional Quotient Inventory: Youth Version-short form (EQi:YV-Brief) and the Mayer-Salovey-Caruso Emotional Intelligence Test, Youth Research Version (MSCEIT-YRV). RESULTS: Children with ADHD did not differ on total EI scores from the normative data on either the ability or trait EI measures. However, they scored above the group norms on the MSCEIT-YRV subscale of Managing Emotions and lower on Understanding Emotions. On the EQi:YV-Brief, children with ADHD reported significantly lower Interpersonal and Adaptability EI. CONCLUSION: Children with ADHD are relatively similar to children without ADHD when examining EI scores. However, there is some variability in the EI measures which should be considered when creating intervention programs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| 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".