Rasch analysis of the quality of life and vision function questionnaire

Optometry and Vision Science

Volumn 86, Issue 7, 2009, Pages E836-E844

  Gothwal, Vijaya K ^a   Wright, Thomas A ^a   Lamoureux, Ecosse L ^a   Pesudovs, Konrad ^a  

^a FLINDERS UNIVERSITY   (Australia)

Author keywords

Cataract; Quality of life and Vision Function questionnaire; Rasch analysis

Indexed keywords

CATARACT; CATARACT SURGERIES; CLASSICAL TESTS; PSYCHOMETRIC PROPERTIES; QUALITY OF LIFE; QUALITY OF LIFE AND VISION FUNCTION QUESTIONNAIRE; RASCH ANALYSIS; VISION FUNCTIONS; VISUAL ABILITIES;

SURGERY;

QUALITY CONTROL;

ADULT; AGED; ARTICLE; CATARACT; CATARACT EXTRACTION; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; PSYCHOMETRY; QUALITY OF LIFE; QUESTIONNAIRE; RASCH ANALYSIS; RATING SCALE; RELIABILITY; TREATMENT OUTCOME; VISION; VISION FUNCTION QUESTIONNAIRE;

AGED; AGED, 80 AND OVER; CATARACT; HUMANS; PSYCHOMETRICS; QUALITY OF LIFE; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; VISION, OCULAR;

EID: 67651021991     PISSN: 10405488     EISSN: 15389235     Source Type: Journal    
DOI: 10.1097/OPX.0b013e3181ae1ec7     Document Type: Article

References (44)

1. Steinberg EP, Tielsch JM, Schein OD, Javitt JC, Sharkey P, Cassard SD, Legro MW, Diener-West M, Bass EB, Damiano AM, Steinwachs DM, Sommer A. The VF-14. An index of functional impairment in patients with cataract. Arch Ophthalmol 1994;112:630-8.
2. Mangione CM, Phillips RS, Seddon JM, Lawrence MG, Cook EF, Dailey R, Goldman L. Development of the ‘Activities of Daily Vision Scale’. A measure of visual functional status. Med Care 1992;30:1111-26.
3. Pesudovs K, Elliott DB, Coster DJ. The Cataract Outcomes Questionnaire—a Rasch scaled measure of visual disability. Invest Ophthalmol Vis Sci 2005;46:E-abstract 3844.
4. Pesudovs K, Garamendi E, Elliott DB. The Quality of Life Impact of Refractive Correction (QIRC) Questionnaire: development and validation. Optom Vis Sci 2004;81:769-77.
5. Pesudovs K, Garamendi E, Elliott DB. The Contact Lens Impact on Quality of Life (CLIQ) Questionnaire: development and validation. Invest Ophthalmol Vis Sci 2006;47:2789-96.
6. Pesudovs K, Garamendi E, Keeves JP, Elliott DB. The Activities of Daily Vision Scale for cataract surgery outcomes: re-evaluating validity with Rasch analysis. Invest Ophthalmol Vis Sci 2003;44:2892-9.
7. Massof RW. The measurement of vision disability. Optom Vis Sci 2002;79:516-52.
8. DeVellis RF. Classical test theory. Med Care 2006;44:S50-9.
9. Crocker L, Algina J. Introduction to Classical and Modern Test Theory. Fort Worth, TX: Harcourt Brace Jovanovich College Publishers; 1986.
10. Nunnally JC, Bernstein IH. Psychometric Theory, 3rd ed. New York, NY: McGraw-Hill; 1994.
11. Carta A, Braccio L, Belpoliti M, Soliani L, Sartore F, Gandolfi SA, Maraini G. Self-assessment of the quality of vision: association of questionnaire score with objective clinical tests. Curr Eye Res 1998;17:506-11.
12. Norquist JM, Fitzpatrick R, Dawson J, Jenkinson C. Comparing alternative Rasch-based methods vs raw scores in measuring change in health. Med Care 2004;42:I25-36.
13. White LJ, Velozo CA. The use of Rasch measurement to improve the Oswestry classification scheme. Arch Phys Med Rehabil 2002;83:822-31.
14. Raczek AE, Ware JE, Bjorner JB, Gandek B, Haley SM, Aaronson NK, Apolone G, Bech P, Brazier JE, Bullinger M, Sullivan M. Comparison of Rasch and summated rating scales constructed from SF-36 physical functioning items in seven countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol 1998;51:1203-14.
15. Mallinson T. Why measurement matters for measuring patient vision outcomes. Optom Vis Sci 2007;84:675-82.
16. Hambleton RK, Swaminathan H, Rogers HJ. Fundamentals of Item Response Theory. Newbury Park, CA: Sage Publications; 1991.
17. Streiner DL, Norman GR. Health Measurement Scales: A Practical Guide to their Development and Use, 2nd ed. Oxford, UK: Oxford University Press; 1995.
18. Rasch G. Probabilistic Models for Some Intelligence and Attainment Tests. Chicago, IL: University of Chicago Press; 1980.
19. Velozo CA, Lai JS, Mallinson T, Hauselman E. Maintaining instrument quality while reducing items: application of Rasch analysis to a self-report of visual function. J Outcome Meas 2000;4:667-80.
20. Kirkwood BJ, Pesudovs K, Latimer P, Coster DJ. The efficacy of a nurse-led preoperative cataract assessment and postoperative care clinic. Med J Aust 2006;184:278-81.
21. Elliott DB, Hurst MA, Weatherill J. Comparing clinical tests of visual function in cataract with the patient’s perceived visual disability. Eye 1990;4:712-7.
22. Rubin GS, Bandeen-Roche K, Huang GH, Munoz B, Schein OD, Fried LP, West SK. The association of multiple visual impairments with self-reported visual disability: SEE project. Invest Ophthalmol Vis Sci 2001;42:64-72.
23. Wright BD, Stone MH. Best Test Design. Chicago, IL: MESA Press; 1979.
24. Andrich D. A model for contingency tables having an ordered response classification. Biometrics 1979;35:403-15.
25. Linacre JM. WINSTEPS Rasch Measurement [Computer Program]. Chicago, IL: ; 2008.
26. Wolfe F, Michaud K, Pincus T. Development and validation of the health assessment questionnaire II: a revised version of the health assessment questionnaire. Arthritis Rheum 2004;50:3296-305.
27. Comins J, Brodersen J, Krogsgaard M, Beyer N. Rasch analysis of the Knee injury and Osteoarthritis Outcome Score (KOOS): a statistical re-evaluation. Scand J Med Sci Sports 2008;18:336-45.
28. Bond TG, Fox CM. Applying the Rasch Model: Fundamental Measurement in the Human Sciences. Mahweh, NJ: L. Erlbaum; 2001.
29. Smith RM. Person fit in the Rasch model. Educ Psychol Meas 1986;46:359-72.
30. Massof RW, Fletcher DC. Evaluation of the NEI visual functioning questionnaire as an interval measure of visual ability in low vision. Vision Res 2001;41:397-413.
31. Conrad KJ, Smith EV Jr. International conference on objective measurement: applications of Rasch analysis in health care. Med Care 2004;42:I1-6.
32. Pesudovs K, Burr JM, Harley C, Elliott DB. The development, assessment, and selection of questionnaires. Optom Vis Sci 2007;84:663-74.
33. Angoff WH. Use of difficulty and discrimination indices for detecting item bias. In: Ber RA, ed. Handbook of Methods for Detecting Test Bias. Baltimore, MD: Johns Hopkins University Press;1982:96-116.
34. Crocker L, Algina J. Introduction to Classical and Modern Test Theory. Fort Worth, TX: Harcourt Brace Jovanovich College Publishers; 1986.
35. Mallinson T, Stelmack J, Velozo C. A comparison of the separation ratio and coefficient alpha in the creation of minimum item sets. Med Care 2004;42:I17-24.
36. Foster A. Vision 2020: the cataract challenge. Community Eye Health 2000;13:17-9.
37. Pesudovs K, Caudle LE, Rees G, Lamoureux EL. Validity of a visual impairment questionnaire in measuring cataract surgery outcomes. J Cataract Refract Surg 2008;34:925-33.
38. Lamoureux EL, Pesudovs K, Pallant JF, Rees G, Hassell JB, Caudle LE, Keeffe JE. An evaluation of the 10-item vision core measure 1 (VCM1) scale (the Core Module of the Vision-Related Quality of Life scale) using Rasch analysis. Ophthalmic Epidemiol 2008;15:224-33.
39. du Toit R, Palagyi A, Ramke J, Brian G, Lamoureux EL. Development and validation of a vision-specific quality-of-life questionnaire for Timor-Leste. Invest Ophthalmol Vis Sci 2008;49:4284-9.
40. Hambleton RK. Good practices for identifying differential item functioning. Med Care 2006;44:S182-8.
41. Lamoureux EL, Pallant JF, Pesudovs K, Rees G, Hassell JB, Keeffe JE. The impact of vision impairment questionnaire: an assessment of its domain structure using confirmatory factor analysis and Rasch analysis. Invest Ophthalmol Vis Sci 2007;48:1001-6.
42. Walter OB, Becker J, Bjorner JB, Fliege H, Klapp BF, Rose M. Development and evaluation of a computer adaptive test for ‘Anxiety’ (Anxiety-CAT). Qual Life Res 2007;16(Suppl 1):143-55.
43. Fliege H, Becker J, Walter OB, Bjorner JB, Klapp BF, Rose M. Development of a computer-adaptive test for depression (D-CAT). Qual Life Res 2005;14:2277-91.
44. Lai JS, Cella D, Dineen K, Bode R, Von Roenn J, Gershon RC, Shevrin D. An item bank was created to improve the measurement of cancer-related fatigue. J Clin Epidemiol 2005;58:190-7.