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

Value in Health

Volumn 11, Issue 4, 2008, Pages 659-668

  Limbers, Christine A ^a   Newman, Daniel A ^a   Varni, James W ^a,b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b TEXAS A M COLLEGE OF MEDICINE   (United States)

Author keywords

Child self report; Children; Confirmatory Factor Analysis; Factorial invariance; Health related quality of life; Patient reported outcomes; PedsQL

Indexed keywords

ADOLESCENT; AGE DISTRIBUTION; ARTICLE; CHILD; CHILD HEALTH; FACTORIAL ANALYSIS; FACTORIAL INVARIANCE; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; QUALITY OF LIFE; RATING SCALE; SELF REPORT; STATISTICAL ANALYSIS; WELLBEING;

EID: 47749125388     PISSN: 10983015     EISSN: 15244733     Source Type: Journal    
DOI: 10.1111/j.1524-4733.2007.00289.x     Document Type: Article

References (61)

1. Varni JW, Burwinkle TM, Lane MM. Health-related quality of life measurement in pediatric clinical practice: an appraisal and precept for future research and application. Health Qual Life Outcomes 2005 3 : 1 9.
2. Matza LS, Swensen AR, Flood EM, et al. Assessment of health-related quality of life in children: a review of conceptual, methodological, and regulatory issues. Value Health 2004 7 : 79 92.
3. World Health Organization. Constitution of The World Health Organization: Basic Document. Geneva, Switzerland, World Health Organization, 1948.
4. FDA. Guidance for Industry: Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. Rockville, MD : Center for Drug Evaluation and Research, Food and Drug Administration, 2006.
5. Eiser C. Use of quality of life measures in clinical trials. Ambul Pediatri 2004 4 : 395 9.
6. Razzouk BI, Hord JD, Hockenberry M, et al. Double-blind, placebo-controlled study of quality of life, hematologic end points, and safety of weekly epoetin alfa in children with cancer receiving myelosuppressive chemotherapy. J Clin Oncol 2006 24 : 3583 9.
7. Varni JW, Burwinkle TM, Seid M. The PedsQL™ as a pediatric patient-reported outcome: reliability and validity of the PedsQL™ Measurement Model in 25,000 children. Exp Rev Pharmacoeconom Res 2005 5 : 705 19.
8. Schwimmer JB, Middleton MS, Deutsch R, Lavine JE. A phase 2 trial of metformin as a treatment for non-diabetic pediatric non-alcoholic steatohepatitis. Aliment Pharmacol Ther 2005 21 : 871 9.
9. Connelly M, Rapoff MA. Assessing health-related quality of life in children with recurrent headache: reliability and validity of the PedsQL™ 4.0 in a pediatric sample. J Pediatr Psychol 2006 31 : 698 702.
10. Clarke SA, Eiser C. The measurement of health-related quality of life in pediatric clinical trials: a systematic review. Health Qual Life Outcomes 2004 2 : 1 5.
11. Sprangers MAG, Aaronson NK. The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: a review. J Clin Epidemiol 1992 45 : 743 60.
12. Achenbach TM, McConaughy SH, Howell CT. Child/adolescent behavioral and emotional problems: implications of cross-informant correlations for situational specificity. Psychol Bull 1987 101 : 213 32.
13. Varni JW, Katz ER, Colegrove R, Dolgin M. Adjustment of children with newly diagnosed cancer: cross-informant variance. J Psychosocial Oncology 1995 13 : 23 38.
14. Varni JW, Katz ER, Seid M, et al. The Pediatric Cancer Quality of Life Inventory (PCQL): I. Instrument development, descriptive statistics, and cross-informant variance. J Behav Med 1998 21 : 179 204.
15. Varni JW, Seid M, Rode CA. The PedsQL™: measurement model for the Pediatric Quality of Life Inventory. Med Care 1999 37 : 126 39.
16. Levi RB, Drotar D. Health-related quality of life in childhood cancer: discrepancy in parent-child reports. Int J Cancer 1999 12 : 58 64.
17. Clancy C, McGrath P, Oddson B. Pain in children and adolescents with spina bifida. Dev Med Child Neurol 2005 47 : 27 34.
18. Felder-Puig R, diGallo A, Waldenmair M, et al. Health-related quality of life of pediatric patients receiving allogeneic stem cell or bone marrow transplantation: results of a longitudinal, multi-center study. Bone Marrow Transplant 2006 38 : 119 26.
19. Vance YH, Morse RC, Jenney ME, Eiser C. Issues in measuring quality of life in childhood cancer: measures, proxies, and parental mental health. J Child Psychol Psychiatry 2001 42 : 661 7.
20. Chang P, Yeh C. Agreement between child self-report and parent proxy-report to evaluate quality of life in children with cancer. Psychooncology 2005 14 : 125 34.
21. Yeh CH, Chang CW, Chang PC. Evaluating quality of life in children with cancer using children's self-reports and parent-proxy reports. Nurs Res 2005 54 : 354 62.
22. Eiser C, Morse R. Can parents rate their child's health-related quality of life? Results from a systematic review. Qual Life Res 2001 10 : 347 57.
23. Theunissen NC, Vogels TGC, Koopman HM, et al. The proxy problem: child report versus parent report in health-related quality of life research. Qual Life Res 1998 7 : 387 97.
24. De Los Reyes A, Kazdin AE. Measuring informant discrepancies in clinical child research. Psychol Assess 2004 16 : 330 4.
25. Richters JE. Depressed mothers as informants about their children: a critical review of the evidence for distortion. Psychol Bull 1992 112 : 485 99.
26. Berg-Nielsen TS, Vika A, Dahl AA. When adolescents disagree with their mothers: CBCL-YSR discrepancies related to maternal depression and adolescent self-esteem. Child Care Health Dev 2003 29 : 207 13.
27. Varni JW, Limbers CA, Burwinkle TM. Parent proxy-report of their children's health-related quality of life: an analysis of 13,878 parents' reliability and validity across age subgroups using the PedsQL™ 4.0 Generic Core Scales. Health Qual Life Outcomes 2007 5 : 1 10.
28. Varni JW, Seid M, Kurtin PS. PedsQL™ 4.0. Reliability and validity of the Pediatric Quality of Life Inventory™, Version 4.0. Generic Core Scales in healthy and patient populations. Med Care 2001 39 : 800 12.
29. Varni JW, Burwinkle TM, Seid M, Skarr D. The PedsQL™ 4.0 as a pediatric population health measure: feasibility, reliability, and validity. Ambul Pediatr 2003 3 : 329 41.
30. Patrick DL, Deyo RA. Generic and disease-specific measures in assessing health status and quality of life. Med Care 1989 27 (Suppl. S217 33.
31. Vandenberg R, Lance C. A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ Res Methods 2000 3 : 4 70.
32. Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Eq Modeling 2002 9 : 233 55.
33. Grouzet FM, Otis N, Pelletier LG. Longitudinal cross-gender factorial invariance of the Academic Motivation Scale. Struct Eq Modeling 2006 13 : 73 98.
34. Byrne BM. Testing for the factorial validity, replication, and invariance of a measurement instrument: a paradigmatic application based on the Maslach Burnout Inventory. Multivariate Behav Res 1994 29 : 289 311.
35. Stein JA, Lee JW, Jones PS. Assessing cross-cultural differences through use of multiple-group invariance analyses. J Pers Ass 2006 87 : 249 58.
36. Marsh HW. Confirmatory factor analysis models of factorial invariance: a multifaceted approach. Struct Eq Modeling 1994 1 : 5 34.
37. Marsh HW, Tracey DK, Craven RG. Multidimensional self-concept structure for preadolescents with mild intellectual disabilities: a hybrid multigroup-MIMC approach to factorial invariance and latent mean differences. Educ Psychol Meas 2006 66 : 795 818.
38. Yao G, Wu CH. Factorial invariance of the WHOQOL-BREF among disease groups. Qual Life Res 2005 14 : 1881 8.
39. Chen FF, Sousa KH, West SG. Testing measurement invariance of second-order factor models. Struct Eq Modeling 2005 12 : 471 92.
40. Varni JW, Thompson KL, Hanson V. The Varni/Thompson Pediatric Pain Questionnaire: I. Chronic musculoskeletal pain in juvenile rheumatoid arthritis. Pain 1987 28 : 27 38.
41. Varni JW, Waldron SA, Gragg RA, et al. Development of the Waldron/Varni Pediatric Pain Coping Inventory. Pain 1996 67 : 141 50.
42. Hollingshead AB. Four Factor Index of Social Status. New Haven, CT : Yale University, 1975.
43. Horn JL, McArdle JJ. A practical and theoretical guide to measurement invariance in aging research. Exp Aging Res 1992 18 : 117 44.
44. Maydeu-Olivares A, D'Zurilla TJ. A factor-analytic study of the Social Problem-Solving Inventory: an integration of theory and data. Cognit Ther Res 1996 20 : 115 33.
45. Mulaik S, James L, Van Alstine J, et al. Evaluation of goodness-of-fit indices for structural equation models. Psychol Bull 1989 105 : 430 45.
46. Bentler P. Comparative fit indixes in structural models. Psychol Bull 1990 107 : 238 46.
47. Steiger JH. Structural model evaluation and modification: an interval estimation approach. Multivariate Behav Res 1990 25 : 173 80.
48. Tucker LR, Lewis C. A reliability coefficient for maximum likelihood factor analysis. Psychometrika 1973 38 : 1 10.
49. James LR, Mulaik SA, Brett JM. Causal Analysis: Models, Assumptions, and Data. Beverly Hills, CA : Sage, 1982.
50. Hu L, Bentler PM. Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Struct Eq Modeling 1999 6 : 1 55.
51. Browne MW, Cudeck R. Alternative ways of assessing model fit. Sociol Method Res 1992 21 : 230 58.
52. Hu L, Bentler PM. Evaluating model fit. In : Hoyle RH, ed. Structural Equation Modeling: Concepts, Issues and Applications. Thousand Oaks, CA : Sage, 1995.
53. Joreskog KG, Sorbom D. LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language. Hillsdale : Lawrence Erlbaum Associates, 1993.
54. Varni JW, Limbers CA, Burwinkle TM. How young can children reliably and validly self-report their health-related quality of life? An analysis of 8,591 children across age subgroups with the PedsQL™ 4.0 Generic Core Scales. Health Qual Life Outcomes 2007 5 : 1 13.
55. Aguinis H, Pierce C. Scale coarseness as a methodological artifact: correcting correlation coefficients attenuated from using coarse scales. Presented at the Meetings of the Society for Industrial and Organizational Psychology. New York : April 27 29, 2007.
56. Peters C, van Voorhis W. Statistical Procedures and Their Mathematical Bases. New York : McGraw-Hill, 1940.
57. Varni JW, Burwinkle TM, Berrin SJ, et al. The PedsQL™ in pediatric cerebral palsy: reliability, validity, and sensitivity of the Generic Core Scales and Cerebral Palsy Module. Dev Med Child Neurol 2006 48 : 442 9.
58. Palmer SN, Meeske KA, Katz ER, et al. The PedsQL™ Brain Tumor Module: initial reliability and validity. Pediatr Blood Cancer 2007 49 : 287 93.
59. Cremeens J, Eiser C, Blades M. Characteristics of health-related self-report measures for children aged three to eight years: a review of the literature. Qual Life Res 2006 15 : 739 54.
60. Russell KMW, Hudson M, Long A, Phipps S. Assessment of health-related quality of life in children with cancer: consistency and agreement between parent and child reports. Cancer 2006 106 : 2267 74.
61. IOM. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington : National Academy of Sciences, 2001.