...
首页> 外文期刊>Disability and rehabilitation. >The Arm Function in Multiple Sclerosis Questionnaire (AMSQ): development and validation of a new tool using IRT methods
【24h】

The Arm Function in Multiple Sclerosis Questionnaire (AMSQ): development and validation of a new tool using IRT methods

机译:多发性硬化症问卷中的手臂功能:使用IRT方法开发和验证新工具

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Purpose: We developed the Arm Function in Multiple Sclerosis Questionnaire (AMSQ) to measure arm and hand function in MS, based on existing scales. We aimed at developing a unidimensional scale containing enough items to be used as an itembank. In this study, we investigated reliability and differential item functioning of the Dutch version. Method: Patients were recruited from two MS Centers and a Dutch website for MS patients. We performed item factor analysis on the polychoric correlation matrix, using multiple fit-indices to investigate model fit. The graded response model, an item response theory model, was used to investigate item goodness-of-fit, reliability of the estimated trait levels (theta), differential item functioning, and total information. Differential item functioning was investigated for type of MS, gender, administration version, and test length. Results: Factor analysis results suggested one factor. All items showed p-values of the item goodness-of-fit statistic above 0.0016. The reliability was 0.95, and no items showed differential item functioning on any of the investigated variables. Conclusion: AMSQ is a unidimensional 31-item questionnaire for measuring arm function in MS. Because of a well fit in a graded response model, it is suitable for further development as a computer adaptive test.
机译:目的:我们根据现有量表,开发了多发性硬化症问卷中的手臂功能,以测量MS中的手臂和手部功能。我们的目标是开发一个包含足够数量的物品可以用作物品库的一维标度。在这项研究中,我们调查了荷兰语版本的可靠性和差异项功能。方法:从两个MS中心和一个荷兰的MS患者网站中招募患者。我们使用多拟合指标对模型拟合进行了多因素相关矩阵的项目因子分析。分级响应模型是项目响应理论模型,用于研究项目拟合优度,估计特征水平(theta)的可靠性,差异项功能和总信息。研究了差异项功能的MS类型,性别,管理版本和测试时间。结果:因素分析结果提示一个因素。所有项目的项目拟合优度统计数据的p值均高于0.0016。信度为0.95,在任何调查变量中均未显示出差异项功能。结论:AMSQ是用于测量MS臂功能的一维31项问卷。由于非常适合分级响应模型,因此适合作为计算机自适应测试进行进一步开发。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号