Literature DB >> 18297500

Utilizing Rasch measurement models to develop a computer adaptive self-report of walking, climbing, and running.

Craig A Velozo1, Ying Wang, Leigh Lehman, Jia-Hwa Wang.   

Abstract

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.

Entities:  

Mesh:

Year:  2008        PMID: 18297500     DOI: 10.1080/09638280701617317

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  7 in total

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Journal:  Arch Phys Med Rehabil       Date:  2015-12-29       Impact factor: 3.966

2.  Introducing BREAST-Q Computerized Adaptive Testing: Short and Individualized Patient-Reported Outcome Assessment following Reconstructive Breast Surgery.

Authors:  Danny A Young-Afat; Christopher Gibbons; Anne F Klassen; Andrew J Vickers; Stefan J Cano; Andrea L Pusic
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3.  Factor structure and item level psychometrics of the Social Problem Solving Inventory-Revised: Short Form in traumatic brain injury.

Authors:  Chih-Ying Li; Julia Waid-Ebbs; Craig A Velozo; Shelley C Heaton
Journal:  Neuropsychol Rehabil       Date:  2015-06-08       Impact factor: 2.868

4.  The e-MSWS-12: improving the multiple sclerosis walking scale using item response theory.

Authors:  Matthew M Engelhard; Karen M Schmidt; Casey E Engel; J Nicholas Brenton; Stephen D Patek; Myla D Goldman
Journal:  Qual Life Res       Date:  2016-06-24       Impact factor: 4.147

5.  A web-based computerized adaptive testing (CAT) to assess patient perception in hospitalization.

Authors:  Tsair-Wei Chien; Wen-Chung Wang; Sheng-Yun Huang; Wen-Pin Lai; Julie Chi Chow
Journal:  J Med Internet Res       Date:  2011-08-15       Impact factor: 5.428

6.  Applying computerized adaptive testing to the Negative Acts Questionnaire-Revised: Rasch analysis of workplace bullying.

Authors:  Shu-Ching Ma; Tsair-Wei Chien; Hsiu-Hung Wang; Yu-Chi Li; Mei-Shu Yui
Journal:  J Med Internet Res       Date:  2014-02-17       Impact factor: 5.428

7.  Cross-cultural adaptation and construct validity of the Korean version of a physical activity measure for community-dwelling elderly.

Authors:  Bongsam Choi
Journal:  J Phys Ther Sci       Date:  2018-01-27
  7 in total

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