Nonparametric IRT Analysis of Quality-of-Life Scales and Its Application to the World Health Organization Quality-of-Life Scale (WHOQOL-Bref)

Overview

Journal Qual Life Res

Specialties Pharmacology
Rehabilitation Medicine

Date 2008 Feb 5

PMID 18246447

Citations 37

Authors

Klaas Sijtsma

Wilco H M Emons

Samantha Bouwmeester

Ivan Nyklicek

Leo D Roorda

Affiliations

Soon will be listed here.

Abstract

Background: This study investigates the usefulness of the nonparametric monotone homogeneity model for evaluating and constructing Health-Related Quality-of-Life Scales consisting of polytomous items, and compares it to the often-used parametric graded response model.

Methods: The nonparametric monotone homogeneity model is a general model of which all known parametric models for polytomous items are special cases. Merits, drawbacks, and possibilities of nonparametric and parametric models and available software are discussed. Particular attention is given to the monotone homogeneity model (also known as the Mokken model), and the often-used parametric graded response model.

Results: Data from the WHOQOL-Bref were analyzed using both the monotone homogeneity model and the graded response model. The monotone homogeneity model analysis yielded unidimensional scales for each content domain. Scalability coefficients further showed that some items have limited scalability with respect to the other items in the same scale. The parametric IRT analyses lead to the rejection of some of the items.

Conclusions: The nonparametric monotone homogeneity model is highly suited for data analysis in a health-related quality-of-life context, and the parametric graded response model may add interesting features to measurement provided the model fits the data well.

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References

. Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med. 1998; 28(3):551-8. DOI: 10.1017/s0033291798006667. View

Fliege H, Becker J, Walter O, Bjorner J, Klapp B, Rose M . Development of a computer-adaptive test for depression (D-CAT). Qual Life Res. 2005; 14(10):2277-91. DOI: 10.1007/s11136-005-6651-9. View

Moorer P, Suurmeije ThP , Foets M, Molenaar I . Psychometric properties of the RAND-36 among three chronic diseases (multiple sclerosis, rheumatic diseases and COPD) in The Netherlands. Qual Life Res. 2002; 10(7):637-45. DOI: 10.1023/a:1013131617125. View

Kosinski M, Bjorner J, Ware Jr J, Batenhorst A, Cady R . The responsiveness of headache impact scales scored using 'classical' and 'modern' psychometric methods: a re-analysis of three clinical trials. Qual Life Res. 2003; 12(8):903-12. DOI: 10.1023/a:1026111029376. View

Hays R, Brodsky M, Johnston M, Spritzer K, Hui K . Evaluating the statistical significance of health-related quality-of-life change in individual patients. Eval Health Prof. 2005; 28(2):160-71. DOI: 10.1177/0163278705275339. View

Crane P, Gibbons L, Narasimhalu K, Lai J, Cella D . Rapid detection of differential item functioning in assessments of health-related quality of life: The Functional Assessment of Cancer Therapy. Qual Life Res. 2006; 16(1):101-14. DOI: 10.1007/s11136-006-0035-7. View

Bjorner J, Kosinski M, Ware Jr J . The feasibility of applying item response theory to measures of migraine impact: a re-analysis of three clinical studies. Qual Life Res. 2003; 12(8):887-902. DOI: 10.1023/a:1026175112538. View

Emons W, Sijtsma K, Meijer R . Global, local, and graphical person-fit analysis using person-response functions. Psychol Methods. 2005; 10(1):101-19. DOI: 10.1037/1082-989X.10.1.101. View

Roorda L, Roebroeck M, van Tilburg T, Molenaar I, Lankhorst G, Bouter L . Measuring activity limitations in walking: development of a hierarchical scale for patients with lower-extremity disorders who live at home. Arch Phys Med Rehabil. 2005; 86(12):2277-83. DOI: 10.1016/j.apmr.2005.06.014. View

10.

Ringdal K, Ringdal G, Kaasa S, Bjordal K, Wisloff F, Sundstrom S . Assessing the consistency of psychometric properties of the HRQoL scales within the EORTC QLQ-C30 across populations by means of the Mokken Scaling Model. Qual Life Res. 1999; 8(1-2):25-43. DOI: 10.1023/a:1026419414249. View

11.

van der Heijden P, Buuren S, Fekkes M, Radder J, Verrips E . Unidimensionality and reliability under Mokken scaling of the Dutch language version of the SF-36. Qual Life Res. 2003; 12(2):189-98. DOI: 10.1023/a:1022269315437. View

12.

Petersen M, Groenvold M, Aaronson N, Fayers P, Sprangers M, Bjorner J . Multidimensional computerized adaptive testing of the EORTC QLQ-C30: basic developments and evaluations. Qual Life Res. 2006; 15(3):315-29. DOI: 10.1007/s11136-005-3214-z. View

13.

Barley E, Jones P . Repeatability of a Rasch model of the AQ20 over five assessments. Qual Life Res. 2006; 15(5):801-9. DOI: 10.1007/s11136-005-5466-z. View

14.

Schwartz C, Welch G, Santiago-Kelley P, Bode R, Sun X . Computerized adaptive testing of diabetes impact: a feasibility study of Hispanics and non-Hispanics in an active clinic population. Qual Life Res. 2006; 15(9):1503-18. DOI: 10.1007/s11136-006-0008-x. View

15.

Bjorner J, Kosinski M, Ware Jr J . Calibration of an item pool for assessing the burden of headaches: an application of item response theory to the headache impact test (HIT). Qual Life Res. 2003; 12(8):913-33. DOI: 10.1023/a:1026163113446. View

16.

Lai J, Cella D, Chang C, Bode R, Heinemann A . Item banking to improve, shorten and computerize self-reported fatigue: an illustration of steps to create a core item bank from the FACIT-Fatigue Scale. Qual Life Res. 2003; 12(5):485-501. DOI: 10.1023/a:1025014509626. View

17.

Fitzpatrick R, Norquist J, Jenkinson C, Reeves B, Morris R, Murray D . A comparison of Rasch with Likert scoring to discriminate between patients' evaluations of total hip replacement surgery. Qual Life Res. 2004; 13(2):331-8. DOI: 10.1023/B:QURE.0000018489.25151.e1. View