First stage international validation of the pediatric family needs questionnaire (FNQ-P)
Bibliographic record
Abstract
Objectives 1. Evaluate reliability and construct validity of the newly-developed Family Needs Questionnaire – Pediatric (FNQ-P), a 40-item measure assessing the extent to which family’s needs are met after a child has an acquired brain injury (ABI). 2. Explore the impact of selected child characteristics on FNQ-P scores.Research Design: Measurement study Methods: Parents/caregivers of children with ABI (2–18 years) were recruited across four sites (Canada, Sweden, Lithuania, Australia) for FNQ-P test–retest evaluation. These sites plus a fifth (United Kingdom) completed construct validity evaluation with the Family Burden of Injury Inventory and Strengths and Difficulties Questionnaire. Associations between FNQ-P score and age, injury severity, time post-injury and site were evaluated via stepwise regression.Results FNQ-P mean scores (n=61) were 64.1% (SD 22.3) and 58.8% (SD 22.6) on test and retest, respectively. Test–retest reliability was good overall (ICC=0.78, 95% CI 0.65–0.86). There was a weak association between FNQ-P and FBII (r=−0.23, P=0.049, n=71), but no association between FNQ-P and SDQ scores (maximum r=0.16, P>0.15). None of the variables studied predicted FNQ-P scores.Conclusion The FNQ-P demonstrated good test–retest reliability. Further validity assessment is recommended. Lack of relationship between FNQ-P and variables studied suggests independence of family needs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".