Pediatric psychoSocial Risk Index: Factor Analysis and Item Reduction Study
Bibliographic record
Abstract
OBJECTIVES: The Pediatric psychoSocial Risk Index (PSRI) is psychosocial risk screening instrument for health practitioners. The objective of this study was to confirm validity evidence of a truncated version of PSRI. METHODS: PSRI was completed initially by 100 parents of children aged 0 to 18 years admitted to a tertiary hospital; 50 parents repeated the PSRI 3 days later. Analysis includes principal component analysis (PCA) to include the least number of items that explain the most variance in a shortened version of PSRI as well as confirming test-retest reliability and internal consistency of the shortened instrument. RESULTS: PSRI originally had 86 items, 85 close-ended items were analyzed. Three items were excluded because of missing test-retest data. Item reduction resulted in truncation of 16 items; 66 items remained. A Kaiser-Mayer-Orkin test of sampling adequacy resulted in reduction of 14 items; 52 items remained. Initial PCA led to reduction of 26 items. The PCA was rerun on remaining items, resulting in reduction of 6 further items; 18 items remained. Two items with >10% missingness were removed leaving 16 items in the final PSRI. Test-retest reliability was 0.98 and mean within-person across-item reliability was 0.95. Cronbach α was 0.9. Remaining items represented 9 social risk themes: food insecurity, medical complexity, home environment, behavioral issues, financial insecurity, parenting confidence, parental mental health, social support, and unmet medical needs. CONCLUSIONS: PSRI was reduced from 86 to 16 items with high internal consistency and reliability. PSRI demonstrates adequate validity supporting practitioners to screen families about their psychosocial risk.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 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 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".