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Identifying Students With Learning Disabilities: Composite Profile Analysis Using the Cognitive Assessment System

机译:识别学习障碍的学生:使用认知评估系统的综合简介分析

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The detection of cognitive patterns in children with learning disabilities (LD) has been a priority in the identification process. Subtest profile analysis from traditional cognitive assessment has drawn sharp criticism for inaccurate identification and weak connections to educational planning. Therefore, the purpose of this study is to use a new generation of cognitive tests with megaclus-ter analysis to augment diagnosis and the instructional process.The Cognitive Assessment System uses a contemporary theoretical model in which composite scores, instead of subtest scores, are used for profile analysis.Ten core profiles from a regular education sample (N = 1,692) and 12 profiles from a sample of students with LD (N = 367) were found.The majority of the LD profiles were unique compared with profiles obtained from the general education sample.The implications of this study substantiate the usefulness of profile analysis on composite scores as a critical element in LD determination.
机译:在识别过程中检测有学习障碍的儿童认知模式(LD)是优先级。 传统认知评估的子测试概况分析对不准确的识别和与教育规划的联系较危险造成了尖锐的批评。 因此,本研究的目的是使用具有Megaclus-Ter分析的新一代认知测试来增强诊断和教学过程。认知评估系统使用当代理论模型,其中使用了复合分数而不是上级评分。 对于个人资料分析。从常规教育样本(n = 1,692)和12个具有LD(n = 367)的样本的核心概况中,与LD(n = 367)的示例中有12个概况。LD概况的大多数与从一般获得的曲线相比是独一无二的 教育样本。本研究的含义证实了概况分析对综合分数作为LD测定中的关键因素的实用性。

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