首页> 外文期刊>BMC Medical Research Methodology >Investigating psychometric properties of the arm activity measure – Thai version (ArmA-TH) sub‐scales using the Rasch model
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Investigating psychometric properties of the arm activity measure – Thai version (ArmA-TH) sub‐scales using the Rasch model

机译:使用RASCH模型调查ARM活动测量的心理测量性能 - 泰文版(ARMA-TH)子尺度

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This study investigated the ArmA-TH sub-scale measurement properties based on item response theory using the Rasch model. Patients with upper limb hemiplegia resulting from cerebrovascular and other brain disorders were asked to complete the ArmA-TH questionnaire. Rasch analysis was performed to test how well the ArmA-TH passive and active function sub-scales fit the Rasch model by investigating unidimensionality, response category functioning, reliability of person and item, and differential item functioning (DIF) for age, sex, and education. Participants had stroke or other acquired brain injury (n?=?185), and the majority were men (126, 68.1?%), with a mean age of 55 (SD 22). Most patients (91, 49.2?%) had graduated from elementary/primary school. For the ArmA-TH passive function scale, all items had acceptable fit statistics. The scale’s unidimensionality and local independence were supported. The reliability was acceptable. A disordered threshold was found for five items, and none indicated DIF. For the ArmA-TH active function scale, one item was misfit and three were locally dependent. The reliability was good. No items showed DIF. All items had disordered thresholds, and the data fitted the Rasch model better after rescoring. Both sub-scales of ArmA-TH fitted the Rasch model and were valid and reliable. The disordered thresholds should be further investigated.
机译:本研究研究了使用RASCH模型的基于项目响应理论的ARMA-TH子级测量特性。患有脑血管和其他脑障碍引起的上肢偏瘫患者被要求完成ARMA-TH问卷。进行RASCH分析以测试ARMA-TH被动和有源功能子尺度如何通过调查单向性,响应类别功能,人员和项目的可靠性以及年龄,性别和差异教育。参与者卒中或其他获得的脑损伤(N?= 185),大多数是男性(126,68.1?%),平均年龄为55(SD 22)。大多数患者(91,49.2?%)毕业于小学/小学。对于ARMA-TH被动功能规模,所有项目都有可接受的统计数据。支持规模的非统计行为和局部独立性。可靠性是可接受的。发现了五个项目的无序阈值,没有表明DIF。对于ARMA-TH主动函数规模,一个物品的错位,三个是局部依赖。可靠性好。没有物品差异。所有项目都有紊乱的阈值,并且在重新扫描后,数据更好地拟合了Rasch模型。 ARMA-T的两个子尺度都安装了RASCH模型,并有效可靠。应进一步研究无序的阈值。

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