Montgomery James W, Windsor Jennifer
School of Hearing, Speech & Language Sciences, Grover Center W231, Ohio University, Athens, OH 45701-2979, USA. E-mail:
J Speech Lang Hear Res. 2007 Jun;50(3):778-97. doi: 10.1044/1092-4388(2007/054).
This study investigated the effects of processing speed and phonological short-term memory (PSTM) on children's language performance.
Forty-eight school-age children with specific language impairment (SLI) and age peers completed auditory detection reaction time (RT) and nonword repetition tasks, the Clinical Evaluation of Language Fundamentals-Revised (CELF-R; E. Semel, E. Wiig, & W. Secord, 1987), and a word recognition RT task. Correlation and regression were used to determine unique and shared contributions to variance among measures.
Children with SLI were outperformed by age peers on each task. Auditory detection RT was correlated with nonword repetition (NWR) in each group. However, both variables covaried with age, and auditory detection RT did not contribute unique variance to NWR in either group. For the SLI group, NWR predicted unique variance in CELF-R performance (about 15%); auditory detection RT predicted a smaller amount of unique variance in the word recognition RT task (about 9%).
Processing speed and PSTM measures covaried with chronological age. Processing speed was associated with offline language performance only through association with PSTM. Processing speed contributed to online language performance, suggesting that speed is associated with processing more familiar language material (i.e., lexical content and structure) than less familiar material (e.g., various content on the CELF-R).
本研究调查了加工速度和语音短期记忆(PSTM)对儿童语言表现的影响。
48名患有特定语言障碍(SLI)的学龄儿童和年龄相仿的同龄人完成了听觉检测反应时间(RT)和非词重复任务、《语言基本能力临床评估修订版》(CELF-R;E. 塞梅尔、E. 威格和W. 西科德,1987年)以及单词识别RT任务。采用相关性和回归分析来确定各测量指标对变异的独特贡献和共同贡献。
在每项任务中,患有SLI的儿童表现均不如年龄相仿的同龄人。每组中,听觉检测RT与非词重复(NWR)相关。然而,这两个变量均与年龄共变,且在任何一组中,听觉检测RT均未对NWR的变异产生独特贡献。对于SLI组,NWR预测了CELF-R表现中的独特变异(约15%);听觉检测RT在单词识别RT任务中预测的独特变异量较小(约9%)。
加工速度和PSTM测量指标与实际年龄共变。加工速度仅通过与PSTM的关联与离线语言表现相关。加工速度对在线语言表现有贡献,这表明速度与处理更熟悉的语言材料(即词汇内容和结构)而非不太熟悉的材料(例如CELF-R上的各种内容)相关。