The childhood trauma questionnaire in a community sample: Psychometric properties and normative data
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
Interpretation of research on the prevalence and sequelae of childhood trauma has been hindered by the use of assessment instruments with unknown psychometric properties. Thus, we examined the psychometric properties of a new childhood trauma measure, the Childhood Trauma Questionnaire (CTQ). The CTQ has demonstrated strong psychometric properties in clinical samples; limited information exists on its psychometric properties in community samples. Therefore, we explored the factor structure and reliability of the CTQ in a community sample and calculated normative data. Consistent with previous literature, a 5-factor model best described the CTQ, with a hierarchical model also providing excellent fit. Additionally, the CTQ demonstrated acceptable internal consistency. Overall, our findings suggest that the CTQ is appropriate for use in a community sample.
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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 | 0.002 |
| 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 | 0.000 | 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 it