| Literature DB >> 29606914 |
Jacob Kean1, Darrel S Brodke2, Joshua Biber1, Paul Gross1.
Abstract
Item response theory has its origins in educational measurement and is now commonly applied in health-related measurement of latent traits, such as function and symptoms. This application is due in large part to gains in the precision of measurement attributable to item response theory and corresponding decreases in response burden, study costs, and study duration. The purpose of this paper is twofold: introduce basic concepts of item response theory and demonstrate this analytic approach in a worked example, a Rasch model (1PL) analysis of the Eating Assessment Tool (EAT-10), a commonly used measure for oropharyngeal dysphagia. The results of the analysis were largely concordant with previous studies of the EAT-10 and illustrate for brain impairment clinicians and researchers how IRT analysis can yield greater precision of measurement.Entities:
Year: 2017 PMID: 29606914 PMCID: PMC5875705 DOI: 10.1017/BrImp.2017.31
Source DB: PubMed Journal: Brain Impair ISSN: 1839-5252 Impact factor: 1.727