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Rasch analysis of the Locomotor Capabilities Index-5 in people with lower limb amputation.

机译:下肢截肢患者运动能力指数5的Rasch分析。

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The aim of this study was to perform a Rasch analysis on the 5-level ordinal scale version of the Locomotor Capabilities Index (LCI-5), in order to investigate rating scale quality and conduct reliability and validity assessments. A questionnaire was mailed to 144 subjects who had undergone lower limb amputation (LLA) in the previous five years and completed a rehabilitation and prosthetic training programme. A total of 123 persons (85%) responded to the questionnaire, a self-report assessment of prosthetic capability and performance which included the LCI-5, the Mobility Section of the Prosthesis Evaluation Questionnaire (PEQ-MS) and other variables associated to prosthetic wear and use. Following Rasch analysis and expert review, the LCI-5 response categories level 1 ('yes, if someone helps me') and 2 ('yes, if someone is near me') were combined into a single category and 4 items were deleted (due to misfitting). The remaining 10 items fitted the Rasch model (LCI10-4) and demonstrated good reliability (person separation reliability = 0.94, item separation reliability = 0.98) and internal construct validity. Moreover, the good correlation with the PEQ-MS (r(s) = 0.77) and with prosthetic wear and use (r(s) range 0.34 - 0.51) supported the convergent validity of the scale. In conclusion, Rasch analysis provided the rationale for improving the measurement qualities of the LCI-5, refining its rating scale (through category diagnostics), identifying those items most useful for measuring the intended construct (as per the indexes of unidimensionality and internal construct validity) and showing that one can place high confidence in the consistency of both the person-ability and item-difficulty estimates obtained (reliability).
机译:这项研究的目的是对运动能力指数(LCI-5)的5级序数版本进行Rasch分析,以调查评分量表的质量并进行信度和效度评估。向过去五年中下肢截肢(LLA)的144名受试者邮寄了问卷,并完成了康复和假肢训练计划。共有123人(85%)回答了问卷,对自我修复能力和性能进行了自我评估,其中包括LCI-5,修复评估问卷的流动性部分(PEQ-MS)和其他与修复相关的变量磨损和使用。经过Rasch分析和专家审查后,LCI-5响应类别级别1(“是,如果有人帮助我”)和2(“是,如果有人在我身边”)被合并为一个类别,并删除了4个项目(由于不合适)。其余10个项目符合Rasch模型(LCI10-4),并显示出良好的可靠性(人员分离可靠性= 0.94,项目分离可靠性= 0.98)和内部结构的有效性。此外,与PEQ-MS(r(s)= 0.77)和假体磨损与使用(r(s)范围0.34-0.51)的良好相关性支持该量表的收敛效度。总之,Rasch分析为改善LCI-5的测量质量,完善其等级量表(通过类别诊断),确定那些对测量预期结构最有用的项目(根据一维性和内部结构有效性指标)提供了依据。 ),这表明人们可以高度自信地获得所获得的人员能力和项目难度估计值(可靠性)。

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