Spoken language samples of Australian children in conversation, narration and exposition

Abstract

Purpose: Language sample analysis is a powerful clinical tool for identifying and describing the oral language difficulties of children with language impairment. In response to a lack of existing Australian normative data, the current study collected spoken language samples from 127 children attending the first 3 years of schooling (YOS). This dataset was compared with the New Zealand (NZ) database of language samples to determine whether clinicians can use overseas databases for appraising language performance of Australian children.

Method: Children participated in several oral language tasks: conversation, personal narratives, story retelling and exposition (YOS3 only).

Result: Analyses of the spoken language samples revealed a developmental trend of increasing syntactic complexity, semantic diversity and verbal productivity. Discourse genre had a significant impact on children’s language production, with the expository task yielding the syntactically most complex language from the YOS 3 children. Comparisons between the Australian and NZ datasets revealed some differences in performance, with the Australian children showing better syntactic complexity.

Conclusion: The Australian dataset of language samples provides clinicians with useful information regarding young school-age children’s performance on a range of discourse tasks deemed important for classroom participation. Care should be taken when using the NZ database for diagnostic purposes.

Keywords:

• School-age children
• story retelling
• language sample analysis
• narratives
• conversation
• expository

Acknowledgements

This project was funded by an Emerging Researcher Grant, awarded to the first author by the School of Arts, Education and Law, Griffith University. In-kind assistance was provided by the Queensland Department of Education and Training. The views expressed in this publication do not necessarily present the views of the Department. The project was also supported by SALT Software, LLC. SALT Software did not participate in the analysis or interpretation stage of the project and did not review the manuscript prior to submission. Thank you to the speech-language pathologists for volunteering their time to assist with recruitment and collection of the data.