JOURNAL ARTICLE

The effectiveness of a sentence-building treatment protocol based on Colorful Semantics: Evidence from a Greek-speaking child with Down syndrome.

  • Published In: Journal of Monolingual & Bilingual Speech (JMBS), 2024, v. 6, n. 2. P. 169 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Papakyritsis, Ioannis; Daskalaki, Katerina; Nerantzini, Michaela 3 of 3

Abstract

This article examines the effectiveness of a sentence-building treatment protocol based on Colorful Semantics (CS), a color-coded cueing system designed to enhance sentence construction, applied to a Greek-speaking child with Down syndrome (DS). Using a single-subject design, the study involved assessment, baseline, treatment, post-treatment, and follow-up phases, focusing on eliciting simple subject-verb-object (SVO) sentences through picture-description tasks. Results showed that after two 45-minute treatment sessions, the child significantly improved in producing full SVO sentences independently using the CS protocol, with gains maintained at an eight-week follow-up even without the cueing system. The study highlights the protocol’s short-term efficiency and long-term effects on syntactic abilities, while noting that function words remained largely omitted and that findings are preliminary due to the single-case design. This research contributes detailed clinical procedures for syntactic intervention in Greek-speaking children with DS, addressing a gap in treatment efficacy studies for this population.

Additional Information

  • Source:Journal of Monolingual & Bilingual Speech (JMBS). 2024/05, Vol. 6, Issue 2, p169
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:2631-8407
  • DOI:10.1558/jmbs.25736
  • Accession Number:183187994
  • Copyright Statement:Copyright of Journal of Monolingual & Bilingual Speech (JMBS) is the property of University of Toronto Press 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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