Reliability and Validity of the Pediatric Quality of Life Inventory With Individuals With Intellectual and Developmental Disabilities
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
The Pediatric Quality of Life Inventory (PedsQL) measures health-related quality of life, a growing area of research, particularly among individuals with disabilities. This research is necessary to fully understand the varied needs of the population and, ultimately, ensure that those needs are being met. The current study assessed the reliability and validity of the PedsQL in individuals with intellectual and developmental disabilities, including individuals with autism spectrum disorder. Participants included 359 caregivers of children, youth, and young adults with IDD. Caregivers completed the PedsQL 4.0 Generic Core Scales questions regarding the individual's physical health and the Strengths and Difficulties Questionnaire. The PedsQL achieved excellent reliability across scales, and distinguished healthy individuals from those with chronic health conditions, as well as individuals with ASD from those without. Factor analysis confirmed a 5-factor model, with moderate to high criterion validity. The PedsQL shows sound psychometric properties and may be a useful tool to measure psychosocial functioning in this population.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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