Psychometric Properties of the Self-Perception Profile for Children in Children with Chronic Illness.
Bibliographic record
Abstract
OBJECTIVE: The Self-Perception Profile for Children (SPPC) is a commonly used measure of self-concept in children, but little research has examined its psychometric properties in children newly-diagnosed with chronic illness. METHOD: Confirmatory factor analysis and examination of reliability and convergent and discriminant validity of the SPPC was conducted in 31 children newly-diagnosed with asthma, diabetes, epilepsy, food allergy, or juvenile arthritis. RESULTS: The unidimensionality of each domain of the SPPC was confirmed, internal reliability was robust (α=.83-.95), and inter-domain polychoric correlations ranged from weak to strong (ρ=.05-.85) Convergent validity was demonstrated with measures of global self-concept and domains of quality of life. The Global Self-worth domain showed discriminant validity between children with and without comorbid mental disorder. CONCLUSIONS: Findings extend the psychometric properties of the SPPC as a valid and reliable scale in children newly-diagnosed with chronic illness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".