2004
DOI: 10.1097/01.mlr.0000103530.13056.88
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Comparing Alternative Rasch-Based Methods vs Raw Scores in Measuring Change in Health

Abstract: The evidence from the current study suggests that there may be some gains in sensitivity to change of outcome measures from different Rasch-based scoring approaches.

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Cited by 140 publications
(95 citation statements)
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“…Rasch analysis has been applied widely to patientcentred outcomes in ophthalmology including the VF-14 [33,35] and outcome measures for refractive surgery [22] and low vision rehabilitation [30]. The use of Rasch analysis in measuring health outcomes has suggested improved validity in item inclusion, precision of measurement and more efficient instruments [21,35]. Our results illustrate that Rasch analysis removed some measurement noise in the raw data, which was chiefly due to disordering of response category usage.…”
Section: Discussionmentioning
confidence: 67%
“…Rasch analysis has been applied widely to patientcentred outcomes in ophthalmology including the VF-14 [33,35] and outcome measures for refractive surgery [22] and low vision rehabilitation [30]. The use of Rasch analysis in measuring health outcomes has suggested improved validity in item inclusion, precision of measurement and more efficient instruments [21,35]. Our results illustrate that Rasch analysis removed some measurement noise in the raw data, which was chiefly due to disordering of response category usage.…”
Section: Discussionmentioning
confidence: 67%
“…Recently, Rasch analytic methodology has been proposed to overcome the limitations of Likert-based scoring of questionnaires that are used in orthopaedics 21 . Even advanced functioning and quality measurement instruments, such as SF-36 and EQ-5D, have some limitations.…”
Section: New Analytic Methodologiesmentioning
confidence: 99%
“…Measurement properties of items (stressor questions) such as unidimensionality of the underlying construct and its subconstructs were investigated using appropriate infit and outfit statistics (Chang & Gehlert 2003;Norquist et al 2004). These statistics evaluated whether each of the stressor questions contributed to measurement of a one-dimensional latent variable.…”
Section: Analytic Methodsmentioning
confidence: 99%