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使用基于流畅性的筛查评估预测共病阅读和数学障碍的风险。

Predicting Risk for Comorbid Reading and Mathematics Disability Using Fluency-Based Screening Assessments.

作者信息

Martin BrittanyLee N, Fuchs Lynn S

机构信息

Vanderbilt University.

出版信息

Learn Disabil Res Pract. 2022 May;37(2):100-112. doi: 10.1111/ldrp.12278. Epub 2022 May 1.

Abstract

The first purpose of this study was to examine the prevalence of risk for comorbid reading and mathematics disabilities (RMD) at start of first grade, when measured in a representative sample of 3,062 students with first-grade fluency measures (word reading; computation). The second purpose was to examine the utility of these measures for predicting RMD status within a sample of 577 students when RMD status was assessed at the end of second grade in terms of reading and math accuracy. When set at or below the 16 percentile, first-grade risk for RMD was two times more common than chance; at or below the 7 percentile, it was five times more common. Logistic regression showed that the two first-grade fluency measures accurately distinguished students with and without RMD in second grade; however, when cut scores were set to capture 85% of students with RMD, false positives were high. Overall, the results provide support for the use of fluency measures as an initial gating procedure in first grade, but additional gating steps appear necessary in the screening process to reduce false positives.

摘要

本研究的首要目的是,在对3062名一年级学生进行代表性抽样,并采用一年级流利度测量指标(单词阅读;计算)进行测量时,考察一年级开始时共病阅读和数学障碍(RMD)的风险患病率。第二个目的是,在一个由577名学生组成的样本中,当在二年级末根据阅读和数学准确性评估RMD状态时,考察这些测量指标对预测RMD状态的效用。当设定在第16百分位数及以下时,一年级RMD风险出现的频率比随机情况高出两倍;在第7百分位数及以下时,其出现频率高出五倍。逻辑回归分析表明,两项一年级流利度测量指标能够准确区分二年级时有和没有RMD的学生;然而,当将临界分数设定为涵盖85%的RMD学生时,假阳性率很高。总体而言,研究结果支持将流利度测量指标用作一年级的初始筛选程序,但在筛查过程中似乎需要额外的筛选步骤以降低假阳性率。

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