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Optimizing a Vietnamese Sentence Repetition Task Using Item Response Theory.

Giang Pham1, Alexander Choi-Tucci2, Ngoc Do1,3

  • 1School of Speech, Language, and Hearing Sciences, San Diego State University, CA.

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Summary
This summary is machine-generated.

This study optimized Vietnamese sentence repetition tasks for developmental language disorder (DLD) screening and assessment. The optimized tasks demonstrate strong diagnostic accuracy for identifying DLD in young children.

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Area of Science:

  • Linguistics
  • Speech-Language Pathology
  • Psychometrics

Background:

  • Sentence repetition tasks are crucial for identifying developmental language disorder (DLD).
  • Optimization of these tasks for clinical practice, particularly in diverse linguistic contexts like Vietnamese, is limited.
  • Item response theory (IRT) offers a robust framework for task optimization.

Purpose of the Study:

  • To optimize a Vietnamese sentence repetition task using IRT for both screening and full assessment of DLD.
  • To evaluate the diagnostic utility and accuracy of the newly developed item sets.
  • To provide clinically applicable tools for identifying DLD in Vietnamese children.

Main Methods:

  • Expanded an existing 28-item task to 40 items for administration to 196 children (ages 4-6) in Vietnam.
  • Participants included children with DLD (n=28), typical development (n=122), and at-risk (n=46).
  • Applied IRT to select optimal item sets for assessment and screening, followed by discriminant function analysis for diagnostic accuracy.

Main Results:

  • An optimal 28-item set (15 original items) demonstrated strong diagnostic accuracy for full assessment.
  • A 14-item subset (seven original items) showed high accuracy for screening purposes.
  • Discriminant function analysis yielded the strongest diagnostic values for both item sets.

Conclusions:

  • Successfully optimized Vietnamese sentence repetition tasks for DLD assessment and screening in monolingual children.
  • The optimized tasks offer practical utility for clinicians in identifying DLD.
  • Future research should explore these tasks with older children and bilingual populations.