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Rasch analysis of the self-reported PedsQL™ 4.0 Generic Core Scales by Australian children

  • Joseph Kwon*
  • , Rakhee Raghunandan
  • , Son Hong Nghiem
  • , Kirsten Howard
  • , Emily Lancsar
  • , Elisabeth Huynh
  • , Martin Howell
  • , Stavros Petrou
  • , Sarah Smith
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales (PedsQL GCS), comprising 23 items covering four subscales (physical, emotional, social, and school functioning), is a widely applied generic measure of childhood health-related quality of life (HRQoL). This study aimed to assess the psychometric performance of the self-reported Child version in an Australian general population of children using psychometric criteria based on Rasch measurement theory. Methods: To minimise type I error, a random sample of n = 500 was drawn from 1,874 Australian children aged 11–12 years who participated in the Longitudinal Study of Australian Children and completed the PedsQL GCS Child self-report measure. The partial credit model was applied. The following properties were assessed: unidimensionality, model goodness of fit, model reliability, targeting, item fit, threshold ordering, differential item functioning (DIF), and local dependency. Results: Areas of poor performance included: weak support for unidimensionality of school functioning subscale; only emotional functioning subscale showing sufficient model goodness of fit; poor targeting, suggesting that item thresholds are limited in discriminating HRQoL differences in this cohort; seven items showing disordered thresholds; and five pairs of items being locally dependent. Only two items showed poor fit, and there was no evidence of non-uniform DIF regarding sex and age. Conclusion: Not all Rasch measurement criteria were satisfied by the PedsQL GCS Child self-report measure applied in Australian children. This Rasch-based psychometric evaluation identified potential areas of improvement that can complement the known conceptual, practical, and classical psychometric strengths of the PedsQL GCS.

Original languageEnglish
Article number120
JournalHealth and Quality of Life Outcomes
Volume23
Issue number1
DOIs
Publication statusPublished - Dec 2025

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