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Language profiles in young children with autism spectrum disorder: A community sample using multiple assessment
Rose Nevill1, Darren Hedley2,3, Mirko Uljarević2
1The Ohio State University, USA.
Language profiles in young children with autism spectrum disorder (ASD) vary by assessment tool. Nonverbal cognition and joint attention are key predictors of language development in ASD.
Area of Science:
- Developmental Psychology
- Clinical Psychology
- Speech-Language Pathology
Background:
- Autism Spectrum Disorder (ASD) diagnosis relies on specific criteria.
- Early language development is crucial for children with ASD.
- Understanding language profiles aids in targeted interventions.
Purpose of the Study:
- To investigate language profiles in young children with ASD.
- To determine if language profiles are independent of assessment instruments.
- To identify predictors of language scores in children with ASD.
Main Methods:
- Assessed 104 children (1-3 years) diagnosed with ASD.
- Utilized Mullen Scales, Preschool Language Scale (fifth edition), and Vineland-II.
- Analyzed receptive-to-expressive language profiles and predictor variables.
Main Results:
- Language profiles varied significantly between assessment instruments and reporters.
- Preschool Language Scale (fifth edition) profiles were influenced by developmental level.
- Nonverbal cognition and joint attention predicted receptive language; nonverbal cognition and vocalizations predicted expressive language.
Conclusions:
- Multiple assessment tools are recommended for evaluating language in young children with ASD.
- Joint attention is a viable intervention target for improving receptive language skills.
- Further research comparing ASD to other developmental delays is warranted.
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