Literature DB >> 18179671

Factorial invariance of child self-report across age subgroups: a confirmatory factor analysis of ages 5 to 16 years utilizing the PedsQL 4.0 Generic Core Scales.

Christine A Limbers1, Daniel A Newman, James W Varni.   

Abstract

BACKGROUND: The utilization of health-related quality of life (HRQOL) measurement in an effort to improve pediatric health and well-being and determine the value of health care services has grown dramatically over the past decade. The paradigm shift toward patient-reported outcomes (PROs) in clinical trials has provided the opportunity to emphasize the value and essential need for pediatric patient self-report. In order for HRQOL/PRO comparisons to be meaningful for subgroup analyses, it is essential to demonstrate factorial invariance. This study examined age subgroup factorial invariance of child self-report for ages 5 to 16 years on more than 8,500 children utilizing the PedsQL 4.0 Generic Core Scales.
METHOD: Multigroup Confirmatory Factor Analysis (MGCFA) was performed specifying a five-factor model. Two multigroup structural equation models, one with constrained parameters and the other with unconstrained parameters, were proposed to compare the factor loadings across the age subgroups.
RESULTS: Metric invariance (i.e., equal factor loadings) across the age subgroups was demonstrated based on stability of the Comparative Fit Index between the two models, and several additional indices of practical fit including the Root Mean Squared Error of Approximation, the Non-Normed Fit Index, and the Parsimony Normed Fit Index.
CONCLUSION: The findings support an equivalent five-factor structure across the age subgroups. Based on these data, it can be concluded that children across the age subgroups in this study interpreted items on the PedsQL 4.0 Generic Core Scales in a similar manner regardless of their age.

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Year:  2007        PMID: 18179671     DOI: 10.1111/j.1524-4733.2007.00289.x

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  27 in total

1.  Health-related quality of life and cognitive functioning from the perspective of parents of school-aged children with Asperger's Syndrome utilizing the PedsQL.

Authors:  Christine A Limbers; Robert W Heffer; James W Varni
Journal:  J Autism Dev Disord       Date:  2009-06-13

2.  Cross-sectional analysis of health-related quality of life in pediatric liver transplant recipients.

Authors:  Estella M Alonso; Christine A Limbers; Katie Neighbors; Karen Martz; John C Bucuvalas; Thomas Webb; James W Varni
Journal:  J Pediatr       Date:  2009-10-28       Impact factor: 4.406

3.  Longitudinal factorial invariance of the PedsQL 4.0 Generic Core Scales child self-report Version: one year prospective evidence from the California State Children's Health Insurance Program (SCHIP).

Authors:  James W Varni; Christine A Limbers; Daniel A Newman; Michael Seid
Journal:  Qual Life Res       Date:  2008-09-19       Impact factor: 4.147

4.  Health-related quality of life in young adult patients with rheumatoid arthritis in Iran: reliability and validity of the Persian translation of the PedsQL™ 4.0 Generic Core Scales Young Adult Version.

Authors:  Amir H Pakpour; Isa Mohammadi Zeidi; Fariba Hashemi; Mohsen Saffari; Andrea Burri
Journal:  Clin Rheumatol       Date:  2012-09-11       Impact factor: 2.980

5.  Psychometric properties and gender invariance of the Chinese version of the self-report Pediatric Quality of Life Inventory version 4.0: short form is acceptable.

Authors:  Chung-Ying Lin; Wei-Ming Luh; Ai-Lun Yang; Chia-Ting Su; Jung-Der Wang; Hui-Ing Ma
Journal:  Qual Life Res       Date:  2011-05-15       Impact factor: 4.147

6.  The HEAR-QL: quality of life questionnaire for children with hearing loss.

Authors:  Amy M Umansky; Donna B Jeffe; Judith E C Lieu
Journal:  J Am Acad Audiol       Date:  2011 Nov-Dec       Impact factor: 1.664

7.  Factorial invariance of pediatric patient self-reported fatigue across age and gender: a multigroup confirmatory factor analysis approach utilizing the PedsQL™ Multidimensional Fatigue Scale.

Authors:  James W Varni; A Alexander Beaujean; Christine A Limbers
Journal:  Qual Life Res       Date:  2013-02-20       Impact factor: 4.147

8.  Measurement equivalence across child self-reports and parent-proxy reports in the Chinese version of the pediatric quality of life inventory version 4.0.

Authors:  Chung-Ying Lin; Wei-Ming Luh; Chung-Ping Cheng; Ai-Lun Yang; Chia-Ting Su; Hui-Ing Ma
Journal:  Child Psychiatry Hum Dev       Date:  2013-10

9.  Quality of Life and School Absenteeism in Children With Chronic Illness.

Authors:  Natacha D Emerson; Brian Distelberg; Holly E R Morrell; Jackie Williams-Reade; Daniel Tapanes; Susanne Montgomery
Journal:  J Sch Nurs       Date:  2015-11-15       Impact factor: 2.835

10.  Relationship between overweight and health-related quality of life in secondary school children in Fiji: results from a cross-sectional population-based study.

Authors:  S Petersen; M Moodie; H Mavoa; G Waqa; R Goundar; B Swinburn
Journal:  Int J Obes (Lond)       Date:  2013-11-15       Impact factor: 5.095

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