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Development and psychometric properties of the Multiple Sclerosis Knowledge Assessment Scale: Rasch analysis of a novel tool for evaluating MS knowledge

Citation

Bessing, B and Honan, CA and van der Mei, I and Taylor, BV and Claflin, SB, Development and psychometric properties of the Multiple Sclerosis Knowledge Assessment Scale: Rasch analysis of a novel tool for evaluating MS knowledge, Multiple Sclerosis Journal pp. 1-11. ISSN 1352-4585 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 The Authors

DOI: doi:10.1177/1352458520929626

Abstract

Background: Multiple sclerosis (MS)-related knowledge is an important evaluation metric for health education interventions. However, few MS knowledge assessment tools are currently available for use.

Objectives: This study aims to develop a reliable and valid Multiple Sclerosis Knowledge Assessment Scale (MSKAS) for use in the MS community and the general public.

Methods: The MSKAS was developed using a Delphi study methodology and was administered to participants in the first open enrolment of the Understanding Multiple Sclerosis (UMS) online course. Rasch analysis was used to examine its psychometric properties and develop the final scale.

Results: Experts from across the MS community participated in the development of the MSKAS, resulting in an initial scale of 42 items. Five hundred and forty-three UMS participants completed the MSKAS; 89% were female and 30% were people with MS. The final unidimensional 22-item scale has a person separation index of 2.16, a person reliability index of 0.82, an item separation index of 11.19, and a Cronbach’s alpha (kr-20) test reliability of 0.87.

Conclusion: The MSKAS is a unidimensional scale with good construct validity and internal consistency. The MSKAS has the potential to be useful for the assessment of MS knowledge in research and clinical practice.

Item Details

Item Type:Refereed Article
Keywords:multiple sclerosis, Rasch analysis, psychometric properties, knowledge assessment
Research Division:Biomedical and Clinical Sciences
Research Group:Neurosciences
Research Field:Central nervous system
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Bessing, B (Mr Barnabas Bessing)
UTAS Author:Honan, CA (Dr Cynthia Honan)
UTAS Author:van der Mei, I (Professor Ingrid van der Mei)
UTAS Author:Taylor, BV (Professor Bruce Taylor)
UTAS Author:Claflin, SB (Dr Suzi Claflin)
ID Code:139864
Year Published:2020
Deposited By:Menzies Institute for Medical Research
Deposited On:2020-07-09
Last Modified:2020-08-28
Downloads:0

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