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References

  • 1
    Wilson IB, Cleary PD. Linking clinical variables with Health-Related Quality of Life: a conceptual model of patient outcomes. JAMA 1995;273:5965.
  • 2
    Aaronson NK, Acquadro C, Alonso J, et al. International quality of life assessment (IQOLA) project. Qual Life Res 1992;1:34951.
  • 3
    Ware JE, Sherbourne CD. The MOS 36-Item Short Form Health Survey (SF-36). I Conceptual framework and item selection. Med Care 1992;30:47383.
  • 4
    McHorney CA, Ware JE, Raczek AE. The MOS 36-Item Short Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care 1993;31:24763.
  • 5
    McHorney CA, Ware JE, Racchel L, Sherbourne CD. The MOS 36-Item Short Form Health Survey (SF-36). III. Tests of data quality, sckaling assumptions, and reliability cross diverse patient groups. Med Care 1994;32:4066.
  • 6
    Saris-Baglama RN, Dewey CJ, Chisholm GB, et al. SF Health outcomes scoring software user's guide. Lincoln, RI: QualityMetric Inc. 2004.
  • 7
    Jenkinson C, Layte R, Lawrence K. Development and testing of the Medical Outcomes Study 36-item short form health survey summary scale scores in the United Kingdom: results from a large-scale survey and a clinical trial. Med Care 1997;35:41016.
  • 8
    Ware J, Kosinski M, Gandek B, et al. The factor structure of the SF-36 health survey in 10 countries: Results from the IQOLA project. J Clin Epidemiol 1998;51:115965.
  • 9
    Gandek B, Sinclair S, Kosinski M, Ware J. Psychometric evaluation of the SF-36 Health Survey in medicare managed care. Health Care Financ Rev 2004;25:524.
  • 10
    Wolinsky FD, Stump TE. A measurement model of the Medical Outcomes Study 36-item Short-Form Health Survey in a clinical sample of disadvantaged, older, black, and white men and women. Med Care 1996;34:53748.
  • 11
    Lewin-Epstein N, Sagiv-Schifter T, Shabtai EL, Shmueli A. Validation of the 36-item Short-Form Health Survey (Hebrew version) in the adult population of Israel. Med Care 1998;36:136170.
  • 12
    Reed PJ. Medical outcomes study short form 36: Testing and cross-validating a second-order factorial structure for health system employees. Health Serv Res 1998;33:136180.
  • 13
    Keller S, Ware J, Bentler P, et al. Use of structural equation modelling to test the construct validity of the SF-36 health survey in ten countries: Results from the IQOLA project. J Clin Epidemiol 1998;51:117988.
  • 14
    Anagnostopoulos F, Niakas D, Pappa E. Construct validation of the Greek SF-36 health survey. Qual Life Res 2005;14:195965.
  • 15
    Beals J, Welty TK, Mitchell CM, et al. Different factor loading for SF-36: The strong heart study and the national survey of functional health status. J Clin Epidemiol 2006;59:20815.
  • 16
    Guthlin C, Walach H. MOS SF-36: Structural equation modelling to test the construct validity of the second-order factor structure. Eur J Psychol Assess 2007;23:1523.
  • 17
    Dersh J, Polatin P, Gatchel R. Chronic pain and psychopathology: research findings and theoretical considerations. Psychosom Med 2002;64:77386.
  • 18
    Schattner A. The emotional dimension and the biological paradigm of illness: time for a change. Q J Med 2003;96:61721.
  • 19
    Simon G, Revicki D, Grothaus L, Vonkorff M. SF-36 Summary scores—Are physical and mental health truly distinct? Med Care 1998;36:56772.
  • 20
    Nortvedt M, Riise T, Myhr K-M, Nyland H. Performance of the SF-36, SF-12, and RAND-36 summary scales in a multiple sclerosis population. Med Care 2000;38:10228.
  • 21
    Taft C, Karlsson J, Sullivan M. Do SF-36 summary component scores accurately summarize subscale scores? Qual Life Res 2001;10:395404.
  • 22
    Taft C, Karlsson J, Sullivan M. Interpreting SF-36 summary health measures: A response – Reply. Qual Life Res 2001;10:41520.
  • 23
    Burney PGJ, Luczynska C, Chinn S, et al. The European Community Respiratory Health Survey. Eur Respir J 1994;7:95460.
  • 24
    European Community Respiratory Health Survey II Steering Committee. The European Community Respiratory Health Survey II. Eur Respir J 2002;20:10719.
  • 25
    Gifi A. Nonlinear multivariate analysis. Chichester: Wiley, 1990.
  • 26
    Greenacre MJ. Theory and applications of correspondence analysis. London: Academic Press; 1984.
  • 27
    Guttman L. The quantification of a class of attributes: a theory and method of scale construction. In: HorstP, ed., The Prediction of Personal Adjustment. New York: Social Science Research Council; 1941.
  • 28
    Mcdonald RP. Test theory. A unified treatment. London: Lawerence Erlbaum Associates; 1999.
  • 29
    Robert P, Escoufier Y. A unifying tool for linear-multivariate statistical methods: The RV-coefficient. Appl Stat 1976;25:25765.
  • 30
    Ten Berge JMF, Knol DL. Scale construction on the basis of component analysis: a comparison of three strategies. Multivariate Behav Res 1985;20:4555.
  • 31
    Grice JW, Harris RJ. A comparison of regression and loading weights for the conputation of factor scores. Multivariate Behav Res 1998;33:22147.
  • 32
    Grice JW. A comparison of factor scores under conditions of factor obliquity. Psychol Methods 2001;6:6783.
  • 33
    Samsa G, Edelman D, Rothman M, et al. Determining clinically important differences in health status measures: A general approach with illustration to the health utilities index mark II. Pharmacoeconomics 1999;15:14155.
  • 34
    De Vet HCW, Adèr HJ, Terwee CB, Pouwer F. Are factor analytical techniques used appropriately in the validation of health status questionnaire? A systematic review on the quality of factor analysis of the SF-36. Qual Life Res 2005;14:120318.
  • 35
    Failde I, Ramos I. Validity and reliability of the SF-36 health Survey Questionnaire in the patients with coronary artery disease. J Clin Epidemiol 2000;553:35965.
  • 36
    Thumboo J, Fong KY, Machin D, et al. A community-based study of scaling assumptions and construct validity of the English (UK) and Chinese (HK) SF-36 in Singapore. Qual Life Res 2001;10:17588.
  • 37
    Dallmeijer AJ, Dekker J, Knol DL, et al. Dimensional structure of the SF-36 in neurological patients. J Clin Epidemiol 2006;53:5413.
  • 38
    Grassi M, Nucera A, Zanolin E, et al. Performance comparison of Likert and binary forms of SF-36 v.1.6 across ECRHS II adults populations. Value Health 2007;10:47888.
  • 39
    De Leeuw J. Multivariate analysis with linearizable regressions. Psychometrika 1988;53:43754.
  • 40
    Ware J, Kosinski M. Interpreting SF-36 summary health measures: A response. Qual Life Res 2001;10:40513.
  • 41
    Ware J, Kosinski M. Interpreting SF-36 summary health measures: A response -Supplemental documentation. Retrieved from SF-36. Available from: http://www.sf-36.org/news/responsetotaft.pdf[Accessed December 14, 2009.
  • 42
    Farivar SS, Cunningham WE, Hays RD. Correlated physical and mental health summary scores for the SF-36 and SF-12 health Survey V.1. Health and Qual Life Res 2007;5:54 [PMCID: PMC2065865.
  • 43
    Hann M, Reeves D. The SF-36 scales are not accurately summarized by independent physical and mental component scores. Qual Life Res 2008;17:41323.
  • 44
    Anagnostopoulos F, Niakas D, Tountas Y. Comparison between exploratory factor-analytic and SEM-based approaches to constructing SF-36 summary scores. Qual Life Res 2009;18:5363.
  • 45
    Hays RD, Sherbourne CD, Mazel H. The RAND-36 item health survey 1.0. Health Econ 1993;2:21727.