Structural equation modeling of health-related quality-of-life data illustrates the measurement and conceptual perspectives on response shift

Journal of Clinical Epidemiology

Volumn 62, Issue 11, 2009, Pages 1157-1164

  King Kallimanis, B L ^a   Oort, F J ^a   Visser, M R M ^a   Sprangers, M A G ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Cancer patients; Health related quality of life; Measurement bias; Measurement invariance; Response shift; Structural equation modeling

Indexed keywords

ADULT; ARTICLE; CANCER PATIENT; FEMALE; GENERAL HEALTH SCALE; HEALTH STATUS; HUMAN; MAJOR CLINICAL STUDY; MALE; MEASUREMENT; PATIENT CARE; PRIORITY JOURNAL; QUALITY OF LIFE; QUESTIONNAIRE; RATING SCALE; SOCIAL ASPECT; STATISTICAL MODEL;

ADAPTATION, PSYCHOLOGICAL; ADULT; AGE FACTORS; AGED; ATTITUDE TO HEALTH; EPIDEMIOLOGIC METHODS; FEMALE; HEALTH STATUS INDICATORS; HUMANS; MALE; MIDDLE AGED; NEOPLASMS; PERSONALITY; PSYCHOMETRICS; QUALITY OF LIFE; SEX FACTORS;

EID: 70349306744     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2009.04.004     Document Type: Article

References (19)

1. Oort F.J., Visser M.R.M., and Sprangers M.A.G. Formal definitions of measurement bias and explanation bias clarify measurement and conceptual perspectives on response shift. J Clin Epidemiol 62 (2009) 1126-1137 [in this issue]
2. Oort F.J. Towards a formal definition of response shift. [In reply to G.W. Donaldson]. Qual Life Res 14 10 (2005) 2353-2355
3. Oort F.J., Visser M.R.M., and Sprangers M.A.G. An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery. Qual Life Res 14 3 (2005) 599-609
4. Visser M.R.M., van Lanschot J.J.B., van der Velden J., Kloek J.J., Gouma D.J., and Sprangers M.A.G. Quality of life in newly diagnosed cancer patients waiting for surgery is seriously impaired. J Surg Oncol 93 7 (2006) 571-577
5. Ware J.E., Snow K.K., Kosinski M., and Gandek B. SF-36 Health survey manual and interpretation guide (1993), The Health Institute, New England Medical Center, Boston, MA
6. Aaronson N.K., Muller M., Cohen P.D.A., Essink-Bot M.L., Fekkes M., Sanderman R., et al. Translation, validation, and norming of the Dutch language version of the SF-36 Health Survey in community and chronic disease populations. J Clin Epidemiol 51 11 (1998) 1055-1068
7. Schag C.C., Heinrich R.L., and Ganz P.A. Karnofsky performance status revisited-reliability, validity, and guidelines. J Clin Oncol 2 3 (1984) 187-193
8. Scheier M.F., Carver C.S., and Bridges M.W. Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem)-a reevaluation of the life orientation test. J Pers Soc Psychol 67 6 (1994) 1063-1078
9. Vanderzee K.I., Buunk B.P., and Sanderman R. Social-comparison as a mediator between health-problems and subjective health evaluations. Br J Soc Psychol 34 (1995) 53-65
10. SPSS 15.0 Command Syntax Reference. [computer program] (2006), SPSS, Inc, Chicago, IL
11. Bollen K.A. Structural equations with latent variables (1989), Wiley, New York
12. Hoogland J.J., and Boomsma A. Robustness studies in covariance structure modeling-an overview and a meta-analysis. Sociol Methods Res 26 (1998) 329-367
13. Browne M.W., and Cudeck R. Alternative ways of assessing model fit. Sociol Methods Res 21 (1992) 230-258
14. LISREL 6 user's guide. [computer program] (1996), Scientific Software International, Inc, Chicago, IL
15. Oort F.J. Using structural equation modeling to detect response shifts and true change. Qual Life Res 14 3 (2005) 587-598
16. Tabachnick B.G., and Fidel L.S. Using multivariate statistics. 5th ed (2006), Allyn & Bacon, Inc, Needham Heights, MA
17. Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat 6 (1979) 65-70
18. Hochberg Y., and Benjamini Y. More powerful procedures for multiple significance testing. Stat Med 9 7 (1990) 811-818
19. MacCallum R.C., Browne M.W., and Sugawara H.M. Power analysis and determination of sample size for covariance structure modeling. Psychol Methods 1 2 (1996) 130-149