Emotion dysregulation in children with autism: A multimethod investigation of the role of child and parent factors
Bibliographic record
Abstract
Children with autism have been found to experience greater difficulties with emotion regulation than peers without autism. Characteristics related to autism (i.e., social communication challenges, restricted repetitive behaviours, inhibitory control difficulties) and external parent factors (i.e., parent stress, mindful parenting) have been suggested to contribute to the emotion dysregulation (ED) experienced by youth with autism. The current study evaluated associations between child and parent factors and two indices of child ED (parent report and observational behaviour coding), in 44 children with autism, ages 8–13 years. Child autism symptomology, inhibitory control difficulties, parental stress and mindful parenting were all associated with parent reported ED, but not with observed ED. Similarly, linear regressions revealed that these factors jointly predicted parent reported ED, but not observed ED. Restricted interests/repetitive behaviours and inhibitory control difficulties emerged as unique positive predictors of parent reported ED. Findings highlight the importance of using a multimethod approach and of considering child- and parent-level factors when investigating ED in children with autism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".