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Original Article

Cataract Symptom Score Questionnaire: Rasch Revalidation

, , &
Pages 296-303 | Received 14 Feb 2009, Accepted 08 Apr 2009, Published online: 08 Oct 2009

REFERENCES

  • Mangione C M, Phillips R S, Seddon J M, et al. Development of the “Activities of Daily Vision Scale.” A measure of visual functional status. Med Care 1992; 30: 1111–1126
  • Pesudovs K, Garamendi E, Keeves J P, Elliott D B. The Activities of Daily Vision Scale for cataract surgery outcomes: Re-evaluating validity with Rasch analysis. Invest Ophthalmol Vis Sci 2003; 44: 2892–2899
  • Steinberg E P, Tielsch J M, Schein O D, et al. The VF-14. An index of functional impairment in patients with cataract. Arch Ophthalmol 1994; 112: 630–638
  • Pesudovs K, Coster D J. An instrument for assessment of subjective visual disability in cataract patients. Br J Ophthalmol 1998; 82: 617–624
  • Carta A, Braccio L, Belpoliti M, et al. Self-assessment of the quality of vision: association of questionnaire score with objective clinical tests. Curr Eye Res 1998; 17: 506–511
  • Mangione C M, Lee P P, Pitts J, et al. Psychometric properties of the National Eye Institute Visual Function Questionnaire (NEI-VFQ). NEI-VFQ Field Test Investigators. Arch Ophthalmol 1998; 116: 1496–1504
  • Nunally J C, Bernstein I H. Psychometric Theory, 3rd ed. McGraw-Hill, New York 1994
  • Mallinson T. Why measurement matters for measuring patient vision outcomes. Optom Vis Sci 2007; 84: 675–682
  • Norquist J M, Fitzpatrick R, Dawson J, Jenkinson C. Comparing alternative Rasch-based methods vs raw scores in measuring change in health. Med Care 2004; 42: I25–I36
  • White L J, Velozo C A. The use of Rasch measurement to improve the Oswestry classification scheme. Arch Phys Med Rehabil 2002; 83: 822–831
  • Raczek A E, Ware J E, Bjorner J B, et al. 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: 1203–1214
  • Karabatsos G. The Rasch model, additive conjoint measurement, and new models of probabilistic measurement theory. J Appl Meas 2001; 2: 389–423
  • Brogden H E. The Rasch model, the law of comparative judgement and additive conjoint measurement. Psychometrika 1977; 42: 631–634
  • Perline R, Wright B D, Wainer H. The Rasch model as additive conjoint measurement. Appl Psychol Measure 1979; 3: 237–256
  • Bond T G, Fox C M. Applying the Rasch Model: Fundamental Measurement in the Human Sciences. Lawrence Erlbaum, London 2001
  • Fisher G H, Molenaar I W. Rasch models. Foundations, Recent Developments and Applications. Springer-Verlag, New York 1995
  • Garamendi E, Pesudovs K, Stevens M J, Elliott D B. The Refractive Status and Vision Profile: Evaluation of psychometric properties and comparison of Rasch and summated Likert-scaling. Vision Res 2006; 46: 1375–1383
  • Lamoureux E L, Pallant J F, Pesudovs K, et al. The Impact of Vision Impairment Questionnaire: An evaluation of its measurement properties using Rasch analysis. Invest Ophthalmol Vis Sci 2006; 47: 4732–4741
  • Velozo C A, Lai J S, 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: 667–680
  • Lee J E, Fos P J, Sung J H, et al. Relationship of cataract symptoms of preoperative patients and vision-related quality of life. Qual Life Res 2005; 14: 1845–1853
  • Gresset J, Boisjoly H, Nguyen T Q, et al. Validation of French-language versions of the Visual Functioning Index (VF-14) and the Cataract Symptom Score. Can J Ophthalmol 1997; 32: 31–37
  • Schein O D, Steinberg E P, Cassard S D, et al. Predictors of outcome in patients who underwent cataract surgery. Ophthalmology 1995; 102: 817–823
  • Brenner M H, Curbow B, Javitt J C, et al. Vision change and quality of life in the elderly. Response to cataract surgery and treatment of other chronic ocular conditions. Arch Ophthalmol 1993; 111: 680–685
  • Curbow B, Legro M W, Brenner M H. The influence of patient-related variables in the timing of cataract extraction. Am J Ophthalmol 1993; 115: 614–622
  • Javitt J C, Brenner M H, Curbow B, et al. Outcomes of cataract surgery. Improvement in visual acuity and subjective visual function after surgery in the first, second, and both eyes. Arch Ophthalmol 1993; 111: 686–691
  • Norregaard J C, Bernth-Petersen P, Andersen T F. Visual impairment and general health among Danish cataract patients. Results from the Danish Cataract Surgery Outcomes Study. I. Acta Ophthalmol Scand 1996; 74: 598–603
  • Pesudovs K, Caudle L E, Rees G, Lamoureux E L. Validity of a visual impairment questionnaire in measuring cataract surgery outcomes. J Cataract Refract Surg 2008; 34: 925–933
  • Rubin G S, Bandeen-Roche K, Huang G H, et al. The association of multiple visual impairments with self-reported visual disability: SEE project. Invest Ophthalmol Vis Sci 2001; 42: 64–72
  • Elliott D B, Hurst M A, Weatherill J. Comparing clinical tests of visual function in cataract with the patient's perceived visual disability. Eye 1990; 4: 712–717, (Pt. 5)
  • Andrich D A. A rating scale formulation for ordered response categories. Psychometrika 1978; 43: 561–573
  • Linacre J M. WINSTEPS Rasch Measurement Computer Program. Winsteps.com, Chicago 2008
  • Ludlow L H, Haley S M. Rasch model logits: Interpretation, use and transformation. Educ Psychol Meas 1995; 55: 967–975
  • Wright B D, Linacre J M. Observations are always ordinal; measurements, however, must be interval. Arch Phys Med Rehabil 1989; 70: 857–860
  • Duncan P W, Bode R K, Min Lai S, Perera S. Rasch analysis of a new stroke-specific outcome scale: The Stroke Impact Scale. Arch Phys Med Rehabil 2003; 84: 950–963
  • Velozo C A, Kielhofner G, Lai J S. The use of Rasch analysis to produce scale-free measurement of functional ability. Am J Occup Ther 1999; 53: 83–90
  • Wright B D, Masters G N. Rating Scale Analysis. MESA Press, Chicago 1982
  • 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–I24
  • Wright B D, Stone M H. Best Test Design. MESA Press, Chicago 1979
  • Smith R M. Fit analysis in latent trait measurement models. J Appl Meas 2000; 1: 199–218
  • Wright B D, Linacre J M. Reasonable mean-square fit values. Rasch Meas Trans 1994; 8: 370
  • Wright B D. Local dependency, correlations and principal components. Rasch Meas Trans 1996; 44: 46–52
  • Linacre J M. User's Guide to Winsteps. MESA Press, Chicago 2005
  • Smith R M, Suh K K. Rasch fit statistics as a test of the invariance of item parameter estimates. J Appl Meas 2003; 4: 153–163
  • Scheuneman J D. A method for assessing bias in test items. J Educ Meas 1979; 16: 143–152
  • Holland P W, Wainer H. Differential Item Functioning. Lawrence Erlbaum, Hillsdale, NJ 1993
  • Wang W C, Yao G, Tsai Y J, et al. Validating, improving reliability, and estimating correlation of the four subscales in the WHOQOL-BREF using multidimensional Rasch analysis. Qual Life Res 2006; 15: 607–620
  • Wright B D, Douglas G A. Best Test Design and Self-Tailored Testing. Statistical Laboratory, Department of Education, University of Chicago, Chicago 1975, MESA Research Memorandum No 19
  • Wright B D, Douglas G A. Rasch Item Analysis by Hand. Statistical Laboratory, Department of Education, University of Chicago, Chicago 1976, MESA Research Memorandum No 21
  • Cronbach L J. Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16: 297–334
  • DeVellis R F. Scale Development Theory and Application. Sage, Newbury Park, CA 1991
  • Streiner D L, Norman G R. Health Measurement Scales: A Guide to Their Development and Use, 3rd ed, , et al. Oxford University Press, New York 2003
  • Pesudovs K, Garamendi E, Elliott D B. The Quality of Life Impact of Refractive Correction (QIRC) Questionnaire: Development and validation. Optom Vis Sci 2004; 81: 769–777
  • Pesudovs K, Garamendi E, Elliott D B. The Contact Lens Impact on Quality of Life (CLIQ) Questionnaire: Development and validation. Invest Ophthalmol Vis Sci 2006; 47: 2789–2796
  • Pesudovs K, Burr J M, Harley C, Elliott D B. The development, assessment, and selection of questionnaires. Optom Vis Sci 2007; 84: 663–674
  • Lamoureux E L, Pesudovs K, Pallant J F, et al. 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: 224–233
  • Wright B D, Bell S R. Item banks: What, why, how. J Edu Meas 1984; 21: 331–345
  • Walter O B, Becker J, Bjorner J B, et al. Development and evaluation of a computer adaptive test for “Anxiety” (Anxiety-CAT). Qual Life Res 2007; 16(Suppl. 1)143–155
  • Fliege H, Becker J, Walter O B, et al. Development of a computer-adaptive test for depression (D-CAT). Qual Life Res 2005; 14: 2277–2291
  • Lai J S, Cella D, Dineen K, et al. An item bank was created to improve the measurement of cancer-related fatigue. J Clin Epidemiol 2005; 58: 190–197

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