2007
DOI: 10.1016/s1474-4422(07)70290-9
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Rating scales as outcome measures for clinical trials in neurology: problems, solutions, and recommendations

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Cited by 432 publications
(419 citation statements)
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“…Scales with multiple, ordinal divisions are more sensitive to change than dichotomous scales35, 37 and their use has higher reliability because of reduced random error 32. Furthermore, a scale's validity is better assessed and improved when scores are assigned within multi‐item scales 32.…”
Section: Discussionmentioning
confidence: 99%
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“…Scales with multiple, ordinal divisions are more sensitive to change than dichotomous scales35, 37 and their use has higher reliability because of reduced random error 32. Furthermore, a scale's validity is better assessed and improved when scores are assigned within multi‐item scales 32.…”
Section: Discussionmentioning
confidence: 99%
“…Scales with multiple, ordinal divisions are more sensitive to change than dichotomous scales35, 37 and their use has higher reliability because of reduced random error 32. Furthermore, a scale's validity is better assessed and improved when scores are assigned within multi‐item scales 32. We therefore recommend that a group of experts gather to discuss and refine the observations of horses with neurologic gait deficits30 based on a series of standardized videos of horses with confirmed spinal cord disease.…”
Section: Discussionmentioning
confidence: 99%
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“…A rating scale or instrument is composed of items, which are the fundamental units of measurement. Each item of the scale measures a manifest variable that is related to the latent variable, and takes on a specific value, depending on the magnitude of the latent variable in the respondent [2,3]. Therefore, rating scales use numerical values to represent the characteristics of the outcomes being measured.…”
Section: Introductionmentioning
confidence: 99%
“…The quality of the rating scale also has implications for sample size estimations in study design because sample size estimations take into account the expected effect size, or difference in outcome between the control and treatment groups [4]. The science of measuring and analyzing psychological variables is referred to as psychometrics, and the term clinimetrics is applied to the design, administration, and interpretation of tests to measure clinical and epidemiologic outcomes, such as symptoms or signs, disease progression, or ADLs [5,6]; these methods are increasingly being applied for accurate measurements of outcomes [3]. They are used to evaluate existing rating scales, as well as in the development of new scales.…”
Section: Introductionmentioning
confidence: 99%