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一条用于评估修订后的正确辅音百分比(PCC-R)变化的表现曲线。

A performance curve for assessing change in Percentage of Consonants Correct Revised (PCC-R).

作者信息

Campbell Thomas F, Dollaghan Christine, Janosky Janine E, Adelson P David

机构信息

Callier Center for Communication Disorders, University of Texas at Dallas, 1966 Inwood Road, Dallas, TX 75235, USA.

出版信息

J Speech Lang Hear Res. 2007 Aug;50(4):1110-9. doi: 10.1044/1092-4388(2007/077).

Abstract

PURPOSE

Interpreting the rapidly changing speech skills of young children recovering from neurological injury is difficult because developmental expectations are generally available only at relatively lengthy intervals (e.g., 6 or 12 months). In this research note, the authors describe the process of generating a Percentage of Consonants Correct-Revised (PCC-R; L. D. Shriberg, D. Austin, B. A. Lewis, J. L. McSweeny, & D. L. Wilson, 1997a) performance curve and illustrate some of its applications for assessing change in performance over time.

METHOD

The authors compiled mean PCC-R scores from 16 samples of typically developing children (18-172 months) and used curve fitting to test more than 11,000 statistical models of monthly growth in PCC-R. They selected a parsimonious and developmentally plausible model with R(2) = .9839 (p < .0005) and used it to generate the PCC-R, standard deviation, and standard error expected at each monthly age.

RESULTS

The PCC-R performance curve distinguished among 65 children (37-57 months of age) diagnosed independently with normal or disordered speech with a high degree of success. More important, the PCC-R performance curve can be used to identify the points at which children (18-172 months) recovering from neurological injury achieve normal-range consonant production.

CONCLUSION

The curve-fitting approach holds promise as a means of interpreting temporal variations in speech production at a finer grain than existing normative data currently allow.

摘要

目的

解读从神经损伤中恢复的幼儿迅速变化的言语技能颇具难度,因为发育预期通常仅在较长间隔(如6个月或12个月)才有。在本研究报告中,作者描述了生成修订后的正确辅音百分比(PCC-R;L.D.施里伯格、D.奥斯汀、B.A.刘易斯、J.L.麦克休尼和D.L.威尔逊,1997a)表现曲线的过程,并举例说明了其在评估随时间变化的表现方面的一些应用。

方法

作者汇总了16组正常发育儿童(18 - 172个月)样本的平均PCC-R分数,并使用曲线拟合来测试11000多个关于PCC-R每月增长的统计模型。他们选择了一个简约且符合发育常理的模型,其R² = 0.9839(p < 0.0005),并用它来生成每个月龄预期的PCC-R、标准差和标准误差。

结果

PCC-R表现曲线成功地区分了65名独立诊断为言语正常或言语障碍的儿童(37 - 57个月龄)。更重要的是,PCC-R表现曲线可用于确定从神经损伤中恢复的儿童(18 - 172个月)达到正常范围辅音发音的时间点。

结论

曲线拟合方法有望成为一种比现有常模数据目前所允许的更精细地解读言语产生时间变化的手段。

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