Using Local Norms when Identifying PLD: Utility of Sample Specific Parameters

H. Lancaster, S. Camarata
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引用次数: 1

Abstract

This project demonstrates a local norming procedure for ruling out global intellectual delay when identifying primary language disorder (PLD) for children from traditionally underrepresented populations. The Epidemiological Study of Specific Language Impairment Diagnostic Database [9], a population based sample of students with PLD, was utilized for the analysis. Two measures of performance IQ were used to estimate cognitive ability. The database was spilt into Caucasian (n = 1623) and African American (n = 254). Local norms were created using within group z scores. The distributions for the African American group were slightly, but significantly left shifted relative to the normative distribution. After accounting for this left shift during identification, the proportion of African American children in the sample more closely matched the overall population distribution. Creating local norms is a feasible, low-cost solution when dealing with distributions that do not match the normative distribution of a standardized test.
局部规范在PLD识别中的应用:样品特定参数的效用
本项目展示了在为传统上代表性不足的人群中的儿童识别原发性语言障碍(PLD)时,排除全球智力延迟的本地规范程序。使用基于人群的PLD学生样本——特殊语言障碍诊断数据库[9]进行分析。研究人员使用了两种IQ测试来评估认知能力。该数据库分为白种人(n = 1623)和非裔美国人(n = 254)。使用z组内分数创建本地标准。非裔美国人群体的分布相对于规范分布有轻微但明显的左移。考虑到识别过程中的这种左移后,样本中非裔美国儿童的比例与总体人口分布更接近。在处理与标准化测试的规范分布不匹配的分布时,创建本地规范是一种可行的、低成本的解决方案。
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