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使用一种简单的筛查工具预测数学成绩和数学学习障碍:数字集测试。

Predicting Mathematical Achievement and Mathematical Learning Disability With a Simple Screening Tool: The Number Sets Test.

作者信息

Geary David C, Bailey Drew H, Hoard Mary K

机构信息

University of Missouri.

出版信息

J Psychoeduc Assess. 2009 Jun;27(3):265-279. doi: 10.1177/0734282908330592.

Abstract

The Number Sets Test was developed to assess the speed and accuracy with which children can identify and process quantities represented by Arabic numerals and object sets. The utility of this test for predicting mathematics achievement and risk for mathematical learning disability (MLD) was assessed for a sample of 223 children. A signal detection analysis of first grade Number Sets Test scores provided measures of children's sensitivity to number and their response bias. The sensitivity measure, d', but not the response bias measure was predictive of third grade mathematics achievement scores, above and beyond the influence of intelligence, working memory, and first grade achievement scores. Further analyses assessed the sensitivity and specificity of the test and revealed that first grade d' scores identified 2 out of 3 children diagnosed as MLD in third grade and correctly identified about 9 out of 10 children who were not at risk for MLD.

摘要

数字集测试旨在评估儿童识别和处理由阿拉伯数字和物体集所代表的数量的速度和准确性。对223名儿童的样本评估了该测试在预测数学成绩和数学学习障碍(MLD)风险方面的效用。对一年级数字集测试成绩进行的信号检测分析提供了儿童对数字的敏感度及其反应偏差的测量值。敏感度测量值d',而非反应偏差测量值,在智力、工作记忆和一年级成绩分数的影响之外,能够预测三年级数学成绩分数。进一步的分析评估了该测试的敏感度和特异性,结果显示一年级的d'分数能够识别出三年级被诊断为MLD的儿童中的三分之二,并且正确识别出约十分之九没有MLD风险的儿童。

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