A Multidimensional Rasch Analysis of the Functional Independence Measure Based on the National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems National Database

dc.contributor.authorPretz, Christopher R.
dc.contributor.authorKean, Jacob
dc.contributor.authorHeinemann, Allen W.
dc.contributor.authorKozlowski, Allan J.
dc.contributor.authorBode, Rita K.
dc.contributor.authorGebhardt, Eveline
dc.contributor.departmentPhysical Medicine and Rehabilitation, School of Medicineen_US
dc.date.accessioned2019-08-05T15:54:41Z
dc.date.available2019-08-05T15:54:41Z
dc.date.issued2016-07-15
dc.description.abstractA number of studies have evaluated the psychometric properties of the Functional Independence Measure (FIM™) using Rasch analysis, although none has done so using the National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems National Database, a longitudinal database that captures demographic and outcome information on persons with moderate to severe traumatic brain injury across the United States. In the current study, we examine the psychometric properties of the FIM as represented by persons within this database and demonstrate that the FIM comprises three subscales representing cognitive, self-care, and mobility domains. These subscales were analyzed simultaneously using a multivariate Rasch model in combination with a time dependent concurrent calibration scheme with the goal of creating a raw score-to-logit transformation that can be used to improve the accuracy of parametric statistical analyses. The bowel and bladder function items were removed because of misfit with the motor and cognitive items. Some motor items exhibited step disorder, which was addressed by collapsing Categories 1-3 for Toileting, Stairs, Locomotion, Tub/Shower Transfers; Categories 1 and 2 for Toilet and Bed Transfers; and Categories 2 and 3 for Grooming. The strong correlations (r = 0.82-0.96) among the three subscales suggest they should be modeled together. Coefficient alpha of 0.98 indicates high internal consistency. Keyform maps are provided to enhance clinical interpretation and application of study results.en_US
dc.identifier.citationPretz, C. R., Kean, J., Heinemann, A. W., Kozlowski, A. J., Bode, R. K., & Gebhardt, E. (2016). A Multidimensional Rasch Analysis of the Functional Independence Measure Based on the National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems National Database. Journal of neurotrauma, 33(14), 1358–1362. doi:10.1089/neu.2015.4138en_US
dc.identifier.urihttps://hdl.handle.net/1805/20178
dc.language.isoen_USen_US
dc.publisherMary Ann Lieberten_US
dc.relation.isversionof10.1089/neu.2015.4138en_US
dc.relation.journalJournal of Neurotraumaen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectRasch analysisen_US
dc.subjectMeasurementen_US
dc.subjectRehabilitation outcomeen_US
dc.subjectTraumatic brain injuryen_US
dc.titleA Multidimensional Rasch Analysis of the Functional Independence Measure Based on the National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems National Databaseen_US
dc.typeArticleen_US
ul.alternative.fulltexthttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445201/en_US
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