Factor Structure of the Bar-On Emotional Quotient Inventory in Youth on the Autism Spectrum
Bibliographic record
Abstract
Examination of emotional intelligence (EI) of autistic individuals has gained popularity. These efforts have included the BarOn Emotional Quotient Inventory, Youth Version (BarOn EQ-i YV); however, this measure was not standardized with this population and so its utility and the accuracy of its factor structure for this population is questionable. This study examined how well the factor structure as represented by a sample of autistic children and youth aligns with that described in the measure’s technical manual to clarify considerations for use. Results indicate poor metrics of model fit. Some factors were significantly correlated, though this was attenuated somewhat upon correction for multiple analyses. Two items from the interpersonal factor were negatively loaded, suggesting they should be subtracted from other items in that factor (in contrast to the standardized model). Implications for EI construct validity, understanding of EI in autism, and use of EI measures for this population are discussed.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".