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Psychometric evaluation of the myasthenia gravis composite using Rasch analysis
Reza Sadjadi1, Mark Conaway, Gary Cutter
1Department of Neurology, University of Virginia, Charlottesville, Virginia, USA.
Introduction:
The MG Composite (MGC) is a validated outcome measure of the clinical manifestations of myasthenia gravis.
Methods:
We performed Rasch analyses of the MGC to investigate additional properties, including its unidimensionality and the appropriateness of the weights assigned to the response categories for the MGC items.
Results:
The fit statistics indicated that the 10 items belong together and can be summated for a total score. There was an overall absence of item order distortion between response categories. The Rasch model's expected category response values were compatible with item weights previously assigned.
Conclusions:
Our analysis suggests that: (1) the score can be summated to estimate an overall disease severity score; (2) the response options of the 10 items are not significantly distorted; and (3) the assigned weights of the response options are appropriate.
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