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Observed Agreement Problems between Sub-Scales and Summary Components of the SF-36 Version 2 - An Alternative Scoring Method Can Correct the Problem

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  • Graeme Tucker
  • Robert Adams
  • David Wilson

Abstract

Purpose: A number of previous studies have shown inconsistencies between sub-scale scores and component summary scores using traditional scoring methods of the SF-36 version 1. This study addresses the issue in Version 2 and asks if the previous problems of disagreement between the eight SF-36 Version 1 sub-scale scores and the Physical and Mental Component Summary persist in version 2. A second study objective is to review the recommended scoring methods for the creation of factor scoring weights and the effect on producing summary scale scores Methods: The 2004 South Australian Health Omnibus Survey dataset was used for the production of coefficients. There were 3,014 observations with full data for the SF-36. Data were analysed in LISREL V8.71. Confirmatory factor analysis models were fit to the data producing diagonally weighted least squares estimates. Scoring coefficients were validated on an independent dataset, the 2008 South Australian Health Omnibus Survey. Results: Problems of agreement were observed with the recommended orthogonal scoring methods which were corrected using confirmatory factor analysis. Conclusions: Confirmatory factor analysis is the preferred method to analyse SF-36 data, allowing for the correlation between physical and mental health.

Suggested Citation

  • Graeme Tucker & Robert Adams & David Wilson, 2013. "Observed Agreement Problems between Sub-Scales and Summary Components of the SF-36 Version 2 - An Alternative Scoring Method Can Correct the Problem," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
    • Handle: RePEc:plo:pone00:0061191
    DOI: 10.1371/journal.pone.0061191
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    References listed on IDEAS

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    1. Ron D. Hays & Cathy Donald Sherbourne & Rebecca M. Mazel, 1993. "The rand 36‐item health survey 1.0," Health Economics, John Wiley & Sons, Ltd., vol. 2(3), pages 217-227, October.
    2. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
    3. David Wilson & Jacqueline Parsons & Graeme Tucker, 2000. "The SF-36 summary scales: Problems and solutions," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 45(6), pages 239-246, November.
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    1. Sarah Appleton & Tiffany Gill & Anne Taylor & Douglas McEvoy & Zumin Shi & Catherine Hill & Amy Reynolds & Robert Adams, 2018. "Influence of Gender on Associations of Obstructive Sleep Apnea Symptoms with Chronic Conditions and Quality of Life," IJERPH, MDPI, vol. 15(5), pages 1-12, May.

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