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Tutorial: Assessment and Analysis of Polysyllables in Young Children
Sarah Masso1, Sharynne McLeod1, Elise Baker2
1Charles Sturt University, Bathurst, Australia.
Speech-language pathologists (SLPs) can improve polysyllable assessment using the Word-Level Analysis of Polysyllables (WAP) and Framework of Polysyllable Maturity (Framework). These tools offer deeper analysis of polysyllable speech samples in children.
Area of Science:
- Speech-language pathology
- Linguistics
- Child language acquisition
Background:
- Polysyllables constitute nearly 30% of American English words.
- Existing assessment tools for children's speech often focus on segmental accuracy or phonological patterns, with limited scope for polysyllable analysis.
Purpose of the Study:
- To support speech-language pathologists (SLPs) in assessing and analyzing polysyllables.
- To extend the focus of current assessment tools beyond segmental accuracy and phonological error patterns.
Main Methods:
- A review of 53 research papers on polysyllable assessment in children.
- Introduction of two novel analysis tools: Word-Level Analysis of Polysyllables (WAP) and Framework of Polysyllable Maturity (Framework).
Main Results:
- Connected speech and single-word sampling were common elicitation methods across studies.
- Analysis methods included segmental, structural, and suprasegmental accuracy measures.
- The WAP and Framework provide enhanced depth for polysyllable analysis.
Conclusions:
- SLPs require a diverse set of clinical tools for effective polysyllable assessment.
- A case study highlights the clinical utility of WAP and Framework for interpreting children's polysyllable productions alongside traditional methods.
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