Gillam Ronald B, Peña Elizabeth D, Bedore Lisa M, Bohman Thomas M, Mendez-Perez Anita
J Speech Lang Hear Res. 2013 Dec;56(6):1813-23. doi: 10.1044/1092-4388(2013/12-0056).
This study was designed to derive cut scores for English testing for use in identifying specific language impairment (SLI) in bilingual children who were learning English as a second language.
In a 1-gate design, 167 children received comprehensive language assessments in English and Spanish during their first-grade year. The reference standard was identification by a team of expert bilingual speech-language pathologists. Receiver operating curve (ROC) analyses were used to identify the optimal prediction model for SLI.
The original, English EpiSLI criteria (Tomblin, Records, & Zhang, 1996) yielded a sensitivity of .95 and a specificity of .45 (LR+ = 1.73, LR- = 0.11, and AUC = .79) for our bilinguals. Revised cutoff scores yielded a sensitivity of .86 and a specificity of .68 (LR+ = 2.67, LR- = 0.21, and AUC = .77). An optimal prediction model yielded a sensitivity of .81 and a specificity of .81 (LR+ = 4.37, LR- = 0.23 and AUC = .85).
The results of English testing could be used to make a reasonably accurate diagnostic decision for bilingual children who had attended public school for at least 1 year and were using English at least 30% of the time.
本研究旨在得出英语测试的分数切点，用于识别将英语作为第二语言学习的双语儿童中的特定语言障碍（SLI）。
在单门设计中，167名儿童在一年级时接受了英语和西班牙语的综合语言评估。参考标准是由一组专业的双语言语语言病理学家进行识别。采用受试者工作特征曲线（ROC）分析来确定SLI的最佳预测模型。
原始的英语EpiSLI标准（Tomblin、Records和Zhang，1996年）对我们的双语儿童产生的敏感性为0.95，特异性为0.45（阳性似然比=1.73，阴性似然比=0.11，曲线下面积=0.79）。修订后的分数切点产生的敏感性为0.86，特异性为0.68（阳性似然比=2.67，阴性似然比=0.21，曲线下面积=0.77）。一个最佳预测模型产生的敏感性为0.81，特异性为0.81（阳性似然比=4.37，阴性似然比=0.23，曲线下面积=0.85）。
对于至少在公立学校就读1年且至少30%的时间使用英语的双语儿童，英语测试结果可用于做出合理准确的诊断决策。
