Assessing Whether Parents and Children Perceive the Meaning of the Items in the PedsQLTM 4.0 Quality of Life Instrument Consistently: A Differential Item Functioning Analysis
Bibliographic record
Abstract
Limited studies have examined the effect of differential item functioning (DIF) on comparing health related quality of life (HRQoL) scores across child self-reports and parent proxy-reports. This study aims to determine whether parents and children respond differently to the items in the Persian version of the PedsQoLTM 4.0 measure. The PedsQLTM 4.0 Generic Core Scales was completed by 938 child-parent dyads. The graded response model (GRM) was used to detect DIF between parents and children. The IRT analyses were conducted using IRTPRO 2.1.On the whole, our findings showed that 50% (4 out of 8) of the items in the physical subscale and 40% (2 out of 5) in both emotional and school subscales were flagged with DIF. Among the DIF items, 62.5% (5 out of 8) were uniform and the remaining 37.5% (3 out of 8) were non-uniform. Parents and children interpret certain items of the PedsQLTM 4.0 in a different ways, except for the social subscale. Hence, we should be cautious about using parent proxy-report as a substitute for a child's ratings.
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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 | 0.015 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".