234
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Whole-word measures and the speech production of typically developing Dutch children

, & ORCID Icon
Pages 1149-1164 | Received 09 Mar 2018, Accepted 13 Mar 2019, Published online: 15 Apr 2019
 

ABSTRACT

In this study, the phonological whole-word measure Phonological Mean Length of Utterance was applied to identify stages in the phonological acquisition of Dutch children. Ninety spontaneous speech samples of 47 typically developing Dutch children from a previous study were examined. Samples were distributed across nine age groups ranging between 1;3–4;0 years. Across all age groups, PMLU of word productions increased significantly with the largest increase found below age 2;0 years. PMLU of the target words showed no significant increase across age groups. Outcomes suggest that the phonological whole-word measure PMLU can be further developed for clinical purposes in Dutch-speaking children. In the future, this measure could become relevant for the diagnosis and evaluation of therapy on the basis of spontaneous language.

Acknowledgments

The authors would like to express their sincere thanks to prof. dr. Toni Rietveld for his contribution with the statistical analyses. This article is based on a study performed by the second author as her master thesis at the Department of Speech and Language Pathology of the Radboud University Nijmegen.

Disclosure Statement

The authors report no conflicts of interest.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 484.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.