What is it about?
This study provides a Rasch-based single metric of disability to be used for accurate comparisons of disability severity levels across European countries and their relationships with external variables. We empirically assess the reliability of scores using Rasch modelling to address the misuse of estimating reliability by means of Cronbach’s α in highly skewed distributions with marked ceiling/floor effects.
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Why is it important?
The measurement of disability with reliable interval-level measures is a cost-effective and efficient approach to gain comprehensive data on persons with disabilities, thus providing important keys regarding how and when to promote prevention programmes, modify interventions or develop enabling environments
Perspectives
Equal-interval measures provide epidemiologists and researchers with the opportunity to gain better insight into the hierarchical structure of functional disability, and yield more reliable and accurate estimates of disability across groups and countries. Interval-level measures of disability allow parametric statistical analysis to confidently examine the relationship between disability and continuous measures so frequent in health sciences (eg, cholesterol, blood pressure, C reactive protein).
Professor J. Buz
Universidad de Salamanca
Read the Original
This page is a summary of: Measurement of the severity of disability in community-dwelling adults and older adults: interval-level measures for accurate comparisons in large survey data sets, BMJ Open, September 2016, BMJ,
DOI: 10.1136/bmjopen-2016-011842.
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Contributors
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