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Child Development Research
Volume 2014, Article ID 450734, 11 pages
http://dx.doi.org/10.1155/2014/450734
Research Article

Role of Working Memory Storage and Attention Focus Switching in Children’s Comprehension of Spoken Object Relative Sentences

1Communication Sciences and Disorders, Ohio University, Athens, OH 45701, USA
2Communication Disorders and Deaf Education, Utah State University, Logan, UT 84322, USA
3Communication Sciences and Disorders, University of Texas at Dallas, Richardson, TX 75080, USA

Received 2 March 2014; Revised 30 April 2014; Accepted 30 April 2014; Published 20 May 2014

Academic Editor: Nobuo Masataka

Copyright © 2014 Mianisha C. Finney et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The present study evaluated a two-mechanism memory model of the online auditory comprehension of object relative (OR) sentences in 7–11-year-old typically developing children. Mechanisms of interest included working memory storage (WMS) and attention focus switching. We predicted that both mechanisms would be important for comprehension. Forty-four children completed a listening span task indexing WMS, an auditory attention focus switching task, and an agent selection task indexing spoken sentence comprehension. Regression analyses indicated that WMS and attention focus switching accuracy each accounted for significant and unique variance in the children’s OR comprehension after accounting for age. Results were interpreted to suggest that WMS is important for OR comprehension by supporting children’s ability to retain both noun phrase 1 and noun phrase 2 prior to their reactivating noun phrase 1 from memory in order to integrate it into a developing structure. Attention focus switching was interpreted to be critical in supporting children’s noun phrase 1 reactivation, as they needed to switch their focus of attention momentarily away from ongoing language processing to memory retrieval.