Psychometric Properties of the Persian Version of the Pediatric Quality of Life Inventory 3.0 (PedsQL™) Cancer Module
Bibliographic record
Abstract
Background: Pediatric cancer significantly impacts children's physical, emotional, and social well-being, making quality of life (QoL) assessment essential. The Pediatric Quality of Life Inventory 3.0 (PedsQL™ 3.0) includes both child self-report and parent proxy versions, which are widely used to evaluate QoL in children with chronic conditions, including cancer. However, validating its psychometric properties across different cultural contexts is necessary. Materials and Methods: A methodological research design was employed for a sample of 200 participants including 100 inpatient children with cancer (mean age ± SD: 9.30 ± 1.85 years) and their mothers (mean age ± SD: 33.61 ± 6.03 years). The content, face, and structural validities of the study were assessed using exploratory factor analyses. The test reliability was also measured through internal consistency calculated with Cronbach's alpha. Moreover, the intra-class correlation coefficient (ICC) was used to evaluate the test-retest reliability. Results: The results of the study demonstrated acceptable content and face validity for both the child and mother versions of the instrument. The structural validity analysis revealed a five-factor structure for the child version and a six-factor structure for the mother version. The reliability of the instrument was confirmed with satisfactory Cronbach's alpha values (α = 0.85) for both versions, indicating strong internal consistency. Additionally, the inter-rater reliability was assessed with ICC. The assessments yielded the values of 0.87 for the child version and 0.88 for the mother version, suggesting excellent agreement. Conclusion: The Persian version of the PedsQL™ 3.0 is a valid and reliable tool for assessing the quality of life in children with cancer and their mothers. Background: Pediatric cancer significantly impacts children's physical, emotional, and social well-being, making quality of life (QoL) assessment essential. The Pediatric Quality of Life Inventory 3.0 (PedsQL™ 3.0) includes both child self-report and parent proxy versions, which are widely used to evaluate QoL in children with chronic conditions, including cancer. However, validating its psychometric properties across different cultural contexts is necessary. Materials and Methods: A methodological research design was employed for a sample of 200 participants including 100 inpatient children with cancer (mean age ± SD: 9.30 ± 1.85 years) and their mothers (mean age ± SD: 33.61 ± 6.03 years). The content, face, and structural validities of the study were assessed using exploratory factor analyses. The test reliability was also measured through internal consistency calculated with Cronbach's alpha. Moreover, the intra-class correlation coefficient (ICC) was used to evaluate the test-retest reliability. Results: The results of the study demonstrated acceptable content and face validity for both the child and mother versions of the instrument. The structural validity analysis revealed a five-factor structure for the child version and a six-factor structure for the mother version. The reliability of the instrument was confirmed with satisfactory Cronbach's alpha values (α = 0.85) for both versions, indicating strong internal consistency. Additionally, the inter-rater reliability was assessed with ICC. The assessments yielded the values of 0.87 for the child version and 0.88 for the mother version, suggesting excellent agreement. Conclusion: The Persian version of the PedsQL™ 3.0 is a valid and reliable tool for assessing the quality of life in children with cancer and their mothers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.016 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".