The Growth of Complex Syntax in School-Age African American Children Who Speak African American English.

  • Published In: Journal of Speech, Language & Hearing Research, 2024, v. 67, n. 6. P. 1832 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Murray, Bryan K.; Rhodes, Katherine T.; Washington, Julie A. 3 of 3

Abstract

Purpose: Syntax provides critical support for both academic success and linguistic growth, yet it has not been a focus of language research in school-age African American children. This study examines complex syntax performance of African American children in second through fifth grades. Method: The current study explores the syntactic performances of African American children (N = 513) in Grades 2–5 on the Test of Language Development–Intermediate who speak African American English. Multilevel modeling was used to evaluate the growth and associated changes between dialect density and syntax. Analyzed data were compared both to the normative sample and within the recruited sample. Results: The results suggest that dialect density exerted its impact early but did not continue to influence syntactic growth over time. Additionally, it was not until dialect density was accounted for in growth models that African American children’s syntactic growth resembled normative expectations of a standardized language instrument. Conclusion: The current study suggests that failure to consider cultural language differences obscures our understanding of African American students’ linguistic competence on standardized language assessments. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Speech, Language & Hearing Research. 2024/06, Vol. 67, Issue 6, p1832
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2024
  • ISSN:1092-4388
  • DOI:10.1044/2024_JSLHR-23-00494
  • Accession Number:177761741
  • Copyright Statement:Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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