Psychometric properties of the Taiwan version of Emotion Dysregulation Inventory in Autism Spectrum Disorder
Bibliographic record
Abstract
BACKGROUND: While the Emotion Dysregulation Inventory (EDI) for autistic people has been validated in many Western countries, its psychometric properties have remained unclear in East Asia. METHODS: We translated the EDI into traditional Chinese and evaluated its psychometric properties among autistic children and youth in Taiwan. We enrolled 200 participants (182 male/18 female) aged 7-30 years from five clinical trials and conducted secondary analyses, assessing internal consistency reliability, confirmatory factor analysis, and convergent validity. RESULTS: Our results showed that the Taiwan version of the EDI had strong internal consistency (Cronbach's alpha are 0.978 and 0.864 for each factor). Confirmatory factor analysis demonstrated acceptable fit of two-factors structure. The Taiwan version of EDI showed good convergent validity with established measurements including the Aberrant Behavior Checklist-Irritability subscale and Child Behavior Checklist-Dysregulation Profile. CONCLUSION: Our findings support the Taiwan version of EDI is a reliable and potentially valid instrument for assessing emotion dysregulation in autistic children and youth in Taiwan.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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".