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婴儿观察选择性控制应用Raisal (BabyOSCAR):构建有效性和测试性能

Vanessa Maziero Barbosa¹, Colleen Peyton^2,3, Theresa Sukal-Moulton^2,3

¹Department of Occupational and Physical Therapy, University of Illinois Health, Chicago, IL, USA.

Developmental medicine and child neurology

|April 17, 2024

概括

婴儿观察选择控制AppRaisal (BabyOSCAR) 工具证明了在脑 (CP) 中评估婴儿运动的强有力的构造有效性. 它可靠地测量不同能力水平的手臂和腿部功能.

科学领域:

儿科物理治疗儿科物理治疗
发育儿科发育儿科
康复科学康复科学康复科学

背景情况:

评估脑 (CP) 婴儿的独立关节运动对于早期干预至关重要.
婴儿观察选择性控制应用Raisal (BabyOSCAR) 是为此目的而设计的一种新型评估工具.
评估新的临床评估的心理测量特性对于其可靠的应用至关重要.

研究的目的:

为了调查BabyOSCAR评估的构造有效性.
通过Rasch分析来确定BabyOSCAR的可靠性和项目属性.
确认BabyOSCAR适用于评估有或没有CP的婴儿的适用性.

主要方法:

宝贝奥斯卡 (BabyOSCAR) 给了75名婴儿 (45名 CP,30名没有).
拉什分析和经典测试理论被用来评估项目适合性,单维性,可靠性和差异性项目功能.
克伦巴赫的α被计算出来以评估内部的一致性.

主要成果:

宝贝奥斯卡评估表明,它与拉什模型相适应,表明声音具有良好的心理测量特性.
单维性分析表明有两个不同的维度:手臂和腿的运动.
对项目校准 (0.84-0.86) 和婴儿测量 (0.82-0.91) 的可靠性指数很强,克伦巴赫的α从0.90到0.95.91不等.

结论:

婴儿OSCAR评估显示出优异的构造有效性和可靠性,用于评估婴儿独立关节运动.
该工具有效地区分了三个婴儿能力水平,并提供了一个间隔级别的测量尺度.
支持单独的手臂和腿部子尺度,提供了对运动技能的全面评估.

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