Related Experiment Videos
Assessment information for predicting upcoming change in language production
1Department of Speech and Hearing Sciences, University of Washington, Seattle, USA. lolswang@u.washington.edu
Journal of Speech and Hearing Research
|April 1, 1996
Summary
Dynamic assessment effectively predicts immediate language growth in children with expressive language impairment, outperforming static assessment profiles. This finding highlights dynamic assessment
Area of Science:
- Speech and Language Pathology
- Child Development
- Educational Psychology
Background:
- Initial language assessments identify language problems and guide intervention eligibility.
- Understanding a child's readiness for language growth is crucial for effective intervention.
Purpose of the Study:
- To compare the predictive effectiveness of static assessment profiling versus dynamic assessment for immediate language growth.
- To examine the correlation between specific assessment measures and subsequent language production changes in children with specific expressive language impairment.
Main Methods:
- Utilized correlation data to analyze the relationship between assessment results and language growth.
- Compared static assessment variables and discrepancies with dynamic assessment outcomes.
- Focused on children diagnosed with specific expressive language impairment.
Main Results:
- Dynamic assessment outcomes showed the highest correlation with immediate language growth.
- Discrepancy in receptive and expressive language age was the second most predictive measure.
- Static assessment profiling was less effective in predicting immediate language changes.
Conclusions:
- Dynamic assessment is a more effective tool for predicting immediate language growth in this population.
- Findings have significant clinical implications for tailoring language interventions.
- Results contribute to the theoretical understanding of language development assessment.