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Confirmatory factor analysis of the Child Health Questionnaire-Parent Form 50 in a predominantly minority sample

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Abstract

The Child Health Questionnaire-Parent Form 50 (CHQ-PF50; Landgraf JM et al., The CHQ User's Manual. Boston, MA: The Health Institute, New England Medical Centre, 1996) appears to be a useful method of assessing children's health. The CHQ-PF50 is designed to measure general functional status and well-being and is available in several versions to suit the needs of the health researcher. Several publications have reported favorably on the psychometric properties of the CHQ. Landgraf et al. reported the results of an exploratory factor analysis at the scale level that provided evidence for a two-factor structure representing physical and psychosocial dimensions of health. In order to cross-validate and extend these results, a confirmatory factor analysis was conducted with an independent sample of generally healthy, predominantly minority children. Results of the analysis indicate that a two-factor model provides a good fit to the data, confirming previous exploratory analyses with this questionnaire. One additional method factor seems likely because of the substantial similarity of three of the scales, but that does not affect the substantive two-factor interpretation overall.

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References

  1. Landgraf JM, Abetz L, Ware JE. The CHQ User's Manual. 1st ed., Boston, MA: The Health Institute, New England Medical Center, 1996.

    Google Scholar 

  2. Asmussen L, Olson LM, Grant E, Fagan J, Landgraf JM, Weiss K. Test-retest reliability of the Child Health Questionnaire (CHQ) in a sample of moderate and low-income, urban children with asthma. J Allergy Clin Immunol 1999; 103(Suppl. Part 2)(1): 654.

    Google Scholar 

  3. Landgraf JM, Abetz LN. Functional status and well-being of children representing three cultural groups: Initial self-reports using the CHQ-CF87. Psychol Health 1997; 12(6): 839–854.

    Google Scholar 

  4. Landgraf JM, Maunsell E, Speechley KN, et al. Canadian-French, German and UK versions of the Child Health Questionnaire: Methodology and preliminary item scaling results. Qual Life Res 1998; 7(5): 433–445.

    Google Scholar 

  5. Cronbach LJ, Meehl PE. Construct validity in psychological tests. Psychol Bull 1955; 52: 281–302.

    Google Scholar 

  6. Gilliam F, Wyllie E, Kashden J, et al. Epilepsy surgery outcome: Comprehensive assessment in children. Neurology 1997; 48(5): 1368–1374.

    Google Scholar 

  7. Levi RB, Drotar D. Health-related quality of life in childhood cancer: Discrepancy in parent-child reports. Int J Cancer 1999; 12(Suppl.): 58–64.

    Google Scholar 

  8. Sawyer M, Antoniou G, Toogood I, Rice M. A comparison of parent and adolescent reports describing the health-related quality of life of adolescents treated for cancer. Int J Cancer 1999; 12(Suppl.): 39–45.

    Google Scholar 

  9. Stewart MG, Friedman EM, Sulek M, et al. Quality of life and health status in pediatric tonsil and adenoid disease. Arch Otolaryngol Head Neck Surg 2000; 126(1): 45–48.

    Google Scholar 

  10. Connolly MA, Johnson JA. Measuring quality of life in paediatric patients. Pharmacoeconomics 1999; 16(6): 605–625.

    Google Scholar 

  11. Glossary. Pharmacoeconomics 1998; 13: 109–110.

  12. World Health Organization. World Health Organization Constitution. Basic Documents. Geneva: World Health Organization, 1948.

    Google Scholar 

  13. Gorsuch RL. Factor Analysis. (2nd ed.) Hillsdale, NJ: Lawrence Erlbaum, 1983.

    Google Scholar 

  14. MacCallum RC, Widaman KF, Zhang S, Hong S. Sample size in factor analysis. Psychol Meth 1999; 4(1): 84–99.

    Google Scholar 

  15. Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ. Evaluating the use of exploratory factor analysis in psychological research. Psychol Meth 1999; 4(3): 272–299.

    Google Scholar 

  16. American Psychological Association. Ethical principles of psychologists and code of conduct. Amer Psychol 1992; 47: 1597–1611.

    Google Scholar 

  17. SAS Institute Inc. SAS/STAT User's Guide, Version 6, 4th ed. Vol. 1. Cary, NC: SAS Institute Inc, 1989.

    Google Scholar 

  18. Loehlin JC. Latent Variable Models: Factor, Path, and Structural Analysis. Mahwah, NJ: Lawrence Erlbaum, 1998.

    Google Scholar 

  19. Bentler PM. EQS Structural Equations Program Manual. Los Angeles: BMDP Statistical Software, 1989.

    Google Scholar 

  20. Byrne BM. Structural Equation Modeling with EQS and EQS/Windows: Basic Concepts, Applications, and Programming. Thousand Oaks, CA: SAGE, 1994.

    Google Scholar 

  21. Sechrest L, Davis MF, Stickle TR, McKnight PE. Understanding 'method' variance. In: Leonard Bickman (ed.), Research Design: Donald Campbell's Legacy. Thousand Oaks, CA: Sage, 2000; 63–87.

    Google Scholar 

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Authors and Affiliations

  1. Department of Psychology, University of Arizona, Tucson, USA

    Kimberly A. Hepner & Lee Sechrest

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  1. Kimberly A. Hepner
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  2. Lee Sechrest
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Correspondence to Kimberly A. Hepner.

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Hepner, K.A., Sechrest, L. Confirmatory factor analysis of the Child Health Questionnaire-Parent Form 50 in a predominantly minority sample. Qual Life Res 11, 763–773 (2002). https://doi.org/10.1023/A:1020822518857

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