Validation of the Peritraumatic Dissociative Experiences Questionnaire and Peritraumatic Distress Inventory in school-aged Victims of Road Traffic Accidents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Although the reliable and valid Peritraumatic Distress Inventory (PDI-C) and Peritraumatic Dissociative Experiences Questionnaire (PDEQ) are useful for identifying adults at risk of developing acute and chronic posttraumatic stress disorder (PTSD), they have not been validated in school-aged children and their predictive values remain unknown in this population. This study aims to assess the psychometric properties of the children versions of these two measures (PDI-C and PDEQ-C) in a sample of French-speaking school-children. METHODS: One-hundred and thirty-three consecutive victims of road traffic accidents, aged 8-15 years, were recruited into this longitudinal study via the emergency room. The peritraumatic reactions were assessed at baseline and PTSD symptoms were assessed 1 month later. RESULTS: Cronbach's alpha coefficients were 0.8 and 0.77 for the PDI-C and PDEQ-C, respectively. The 1-month test-retest correlation coefficient (n=33) was 0.77 for both measures. The PDI-C demonstrated a two-factor structure while the PDEQ-C displayed a one-factor structure. As with adults, the two measures were intercorrelated (r=0.52) and correlated with subsequent PTSD symptoms and diagnosis (r=0.21-0.56; P<0.05). CONCLUSIONS: The children versions of the PDI and PDEQ are reliable and valid in children.
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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 | 0.001 | 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 | 0.000 |
| 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 it