Convergent and divergent validity of the Connor-Davidson Resilience Scale in children with concussion and orthopaedic injury
Bibliographic record
Abstract
OBJECTIVE: Psychological resilience is an important predictor of outcome in concussion; however, there is no published evidence of psychometric support for use of a measure of psychological resilience in children with concussion. This study examined construct validity of the Connor-Davidson Resilience Scale (CD-RISC) in a paediatric concussion and orthopaedic injury sample. METHODS: Seventy-five children with a history of concussion or orthopaedic injury were recruited from a children's hospital. Total sample and within-group correlations between the CD-RISC (25- and 10-item versions) and measures presumed to be related or unrelated to the construct of psychological resilience were analysed. RESULTS: In the total sample, both versions of the CD-RISC were negatively correlated with self-reported depressive symptoms and general behaviour problems. The 10-item version was also negatively correlated with parent-reported general behaviour problems and self-reported anxiety, and was positively correlated with self-reported quality of life. The injury groups did not exhibit significantly different correlations. CONCLUSIONS: The construct validity of the CD-RISC is satisfactory when used with children with concussion. The 10-item version may provide a more efficient measure of resiliency with better construct validity in this population.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".