2016
DOI: 10.1590/bjpt-rbf.2014.0143
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The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and how to select an outcome measurement instrument

Abstract: Background: COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) is an initiative of an international multidisciplinary team of researchers who aim to improve the selection of outcome measurement instruments both in research and in clinical practice by developing tools for selecting the most appropriate available instrument. Method: In this paper these tools are described, i.e. the COSMIN taxonomy and definition of measurement properties; the COSMIN checklist to evaluate the m… Show more

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Cited by 578 publications
(671 citation statements)
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“…Thus, a study using a more robust statistical approach including limits of agreement, larger sample size, and blinded raters are required 17 , 18 . Furthermore, according to Atkinson and Nevill 17 , US should be reliable enough to be used in a specific population.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, a study using a more robust statistical approach including limits of agreement, larger sample size, and blinded raters are required 17 , 18 . Furthermore, according to Atkinson and Nevill 17 , US should be reliable enough to be used in a specific population.…”
Section: Introductionmentioning
confidence: 99%
“…The targeted number of participants for test-retest reliability analyses was set at 300, representing three times the minimum sample size considered adequate by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist 43 , 44 .…”
Section: Methodsmentioning
confidence: 99%
“…Rasch analysis to examine item performance, or factor analysis to explore data dimensionality). Whereas COSMIN conflate internal consistency with reliability in their taxonomy, [10,84] we consider internal consistency to be an indication of the unidimensionality of a scale and of item redundancy, rather than the degree to which a scale is free from measurement error. As such, and with respect to the reliability definition, we preferred to consider it separately.…”
Section: Limitationsmentioning
confidence: 99%