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Published on: January 7, 2019
Utilizing Rasch measurement models to develop a computer adaptive self-report of walking, climbing, and running
Craig A Velozo1, Ying Wang, Leigh Lehman
1Rehabilitation Outcomes Research Center, Department of Veterans Affairs Medical Center, Florida, USA. cvelozo@phhp.ufl.edu
Purpose:
The purpose of this paper is to show how the Rasch model can be used to develop a computer adaptive self-report of walking, climbing, and running.
Method:
Our instrument development work on the walking/climbing/running construct of the ICF Activity Measure was used to show how to develop a computer adaptive test (CAT). Fit of the items to the Rasch model and validation of the item difficulty hierarchy was accomplished using Winsteps software. Standard error was used as a stopping rule for the CAT. Finally, person abilities were connected to items difficulties using Rasch analysis 'maps'.
Results:
All but the walking one mile item fit the Rasch measurement model. A CAT was developed which selectively presented items based on the last calibrated person ability measure and was designed to stop when standard error decreased to a pre-set criterion. Finally, person ability measures were connected to the ability to perform specific walking/climbing/ running activities using Rasch maps.
Conclusions:
Rasch measurement models can be useful in developing CAT measures for rehabilitation and disability. In addition to CATs reducing respondent burden, the connection of person measures to item difficulties may be important for the clinical interpretation of measures.
