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Psychometric Validation of a Music-Based Attention Assessment: Revised for Patients with Traumatic Brain Injury

机译:基于音乐的注意力评估的心理计量学验证:颅脑外伤患者的修订

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Background: An estimated 1.5 to 2 million people sustain a traumatic brain injury (TBI) each year in the United States. Impairments in attention following TBI severely limit everyday functioning in a multifaceted manner. A precise assessment is critical in identifying the types of attention impairments and in recommending appropriate tasks to aid in attention rehabilitation. A Music-based Attention Assessment (MAA) was developed to fill this need and revised to reflect variations of attention ability that exist in the general population.Objective: The purpose of the study was to investigate the theoretically-based constructs of the Music-based Attention Assessment-Revised (MAA-R) using a factorial approach and to examine item properties and test reliability in relation to the exploratively-derived factor constructs. Methods: The MAA-R is a 54-item multiple-choice, melodic contour identification test, designed to assess three different types of auditory attention including sustained, selective, and divided attention. The psychometric validation of the MAA-R was conducted with healthy adults (n = 165) and patients diagnosed with a moderate to severe TBI (n = 22).Results: Exploratory factor analysis identified five factor constructs, including Sustained-Short, Sustained-Med to Long, Selective-Noise, Selective & Divided, and Divided-Long. After item elimination, the final 45-item MAA-R provided evidence of high internal consistency as computed by split-half reliability coefficients (x = .836) and Cronbach's alpha fa = .940).Conclusion: The aggregate findings suggest that the MAA-R is a valid and reliable measure that provides assessment information in regards to the different types of auditory attention deficits frequently observed in patients with TBI. Development and revision issues as well as the use of melodic contours in auditory attention assessment are discussed along with suggestions for future research.
机译:背景:在美国,估计每年有1.5至200万人遭受脑外伤(TBI)。 TBI后的注意力障碍严重地限制了人们的日常工作。准确的评估对于识别注意力障碍的类型和推荐适当的任务以帮助注意力康复至关重要。基于音乐的注意力评估(MAA)可以满足这种需求,并进行了修订,以反映一般人群中存在的注意力能力的变化。目的:研究的目的是研究基于音乐的注意力评估的理论基础修正后的注意力评估(MAA-R),并使用因果方法来检验与探索性因素构造相关的物品属性和测试可靠性。方法:MAA-R是一项54项多项选择的旋律轮廓识别测试,旨在评估三种不同类型的听觉注意力,包括持续注意力,选择性注意力和分散注意力。对成年人(n = 165)和诊断为中度至重度TBI(n = 22)的患者进行了MAA-R的心理计量学验证。中到长,选择性噪声,选择性和除以以及长除。消除项目后,最终的45个项目的MAA-R提供了高内部一致性的证据,这是通过对分半可靠性系数(x = .836)和Cronbach's alpha fa = .940)计算得出的。结论:综合发现表明MAA -R是一种有效且可靠的措施,可提供有关在TBI患者中经常观察到的不同类型的听觉注意缺陷的评估信息。讨论了发展和修订问题以及旋律轮廓在听觉注意力评估中的使用以及对未来研究的建议。

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