Department of Communication Sciences and Disorders, Western Kentucky University, Bowling Green.
Vanderbilt University Medical Center, Nashville, TN.
J Speech Lang Hear Res. 2021 Feb 17;64(2):593-612. doi: 10.1044/2020_JSLHR-20-00335. Epub 2021 Feb 2.
Purpose The purpose of this study was to explore whether evidence for a bimodal distribution of tense marking, previously documented in clinically referred samples, exists in a population-based sample of kindergarten children from a rural county in Tennessee. Method A measure of tense marking, the Test of Early Grammatical Impairment (TEGI) Screening Test, was individually administered to consented kindergarten students ( = 153) across three elementary schools in a single school district. The consented children constituted 73% of kindergartners in the district. Cluster analysis was used to evaluate the number and composition of latent classes that best fit the distribution of the TEGI Screening Test scores. Results Analysis of the scores revealed a distribution that deviated significantly from normality. Cluster analyses (Ward's, -means, single linkage) revealed a two-cluster solution as the best fitting model. The very large effect-size difference in mean TEGI Screening Test score between the two clusters ( = 4.77) provides validation of an identifiable boundary delineating typical from atypical tense marking in this sample of kindergartners. The difference in tense marking across the two clusters was not attributable to child chronological age. The percentage of the sample comprising the low-performing cluster aligns with specific language impairment and developmental language disorder prevalence estimates. Conclusion Additional demonstrations of a bimodal distribution of tense marking in future studies with carefully defined samples could strengthen the clinical marker evidence and utility of this linguistic feature.
目的 本研究旨在探讨在田纳西州农村县的一个基于人群的幼儿园儿童样本中,是否存在先前在临床参考样本中记录到的时态标记双峰分布的证据。
方法 采用时态标记测试,即早期语法障碍测试(TEGI)筛查测试,对三个学区的三所小学中的同意参与的幼儿园学生(n=153)进行个体施测。同意参与的儿童占该地区幼儿园学生的 73%。聚类分析用于评估最佳拟合 TEGI 筛查测试分数分布的潜在类别数量和组成。
结果 对分数的分析显示,分布明显偏离正态分布。聚类分析(Ward's、-means、单链接)显示,两聚类解决方案是最佳拟合模型。两个聚类之间 TEGI 筛查测试得分的均值差异非常大(=4.77),为该幼儿园儿童样本中典型与非典型时态标记之间可识别的边界提供了验证。两个聚类之间的时态标记差异不能归因于儿童的实际年龄。表现不佳聚类的样本比例与特定语言障碍和发育性语言障碍的流行率估计相符。
结论 在未来具有明确定义样本的研究中进一步证明时态标记双峰分布,可以增强该语言特征的临床标志物证据和实用性。