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Identifying Children with Persistent Developmental Dyscalculia from a 2‐min Test of Symbolic and Nonsymbolic Numerical Magnitude Processing
Mind, Brain, and Education ( IF 2.013 ) Pub Date : 2020-11-26 , DOI: 10.1111/mbe.12268
S. Bugden 1, 2 , L. Peters 1 , N. Nosworthy 3 , L. Archibald 4 , D. Ansari 1
Affiliation  

Developmental dyscalculia (DD) is a mathematical learning disability that occurs in around 5%–7% of the population. At present, there are only a handful of screening tools to identify children that might be at risk of developing DD. The present study evaluated the classification accuracy of one such tool: The Numeracy Screener, a 2‐min test of symbolic (Arabic numerals) and nonsymbolic (dot arrays) discrimination ability. A sample of 222 children who demonstrated persistent deficits (n = 55), inconsistent deficits (n = 51), or typical performance (n = 116) on standardized tests of math achievement over multiple observations was tested. The Numeracy Screener correctly classified children in all three groups. Notably, the symbolic condition has greater sensitivity in discriminating children with persistent DD from the other two groups. Screening tools that assess early numeracy skills may be promising for identifying children at risk for developing severe mathematical difficulties.

中文翻译:

通过2分钟的符号和非符号数值幅度处理测试确定持续性发育障碍儿童

发育不良(DD)是一种数学学习障碍,大约占人口的5%–7%。目前,只有少数筛查工具可以识别可能患有DD的儿童。本研究评估了这样一种工具的分类准确性:“算术筛选器”,一种2分钟的符号(阿拉伯数字)和非符号(点阵列)辨别能力测试。对222名表现出持续性缺陷(n  = 55),不一致的缺陷(n  = 51)或典型表现(n = 116)在对多个观察结果的数学成就的标准化测试中进行了测试。Numeracy Screener将所有三个组中的儿童正确分类。值得注意的是,在将患有持续性DD的儿童与其他两组区别开来时,符号性条件具有更高的敏感性。评估早期计算能力的筛查工具可能有望用于识别有发展严重数学困难风险的儿童。
更新日期:2020-11-26
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