Psychometric evaluation of the myasthenia gravis composite using rasch analysis
Psychometric evaluation of the myasthenia gravis composite using rasch analysis
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DOI：
10.1002/mus.23260
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发表时间：
2012-06-01
期刊：
影响因子：
3.4
通讯作者：
Burns, Ted M.
中科院分区：
文献类型：
--
作者：
Sadjadi, Reza;Conaway, Mark;Burns, Ted M.
前言：MG复合体(MGC)是一种经过验证的重症肌无力临床表现的结果衡量标准。方法：我们对MGC进行RASCH分析，以调查MGC的其他属性，包括其单维度和分配给MGC条目的反应类别的权重的适当性。结果：Fit统计表明，这10个条目属于同一类，可以相加得到总分。回答类别之间总体上不存在项目顺序扭曲。Rasch模型的预期类别响应值与先前分配的项目权重兼容。结论：我们的分析表明：(1)得分可以相加来估计总体疾病严重程度得分；(2)10个项目的反应选项没有明显的扭曲；(3)反应选项的分配权重是适当的。肌肉神经45：820825,2012年
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. Muscle Nerve 45: 820825, 2012