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Screening for reading problems: The utility of SEARCH.
D Morrison1, P Mantzicopoulos, E Stone
1University of California, San Francisco.
Annals of Dyslexia
|November 16, 2013
Summary
The SEARCH screening tool shows 77% accuracy in predicting reading skills but over-identifies children. Many identified as at risk by SEARCH later achieved adequate reading skills.
Area of Science:
- Developmental Psychology
- Educational Psychology
- Screening Tools in Education
Background:
- Early identification of learning problems is crucial for timely intervention.
- Screening tools aim to identify at-risk children for further assessment.
- The SEARCH tool's efficacy in predicting reading difficulties requires validation.
Purpose of the Study:
- To assess the predictive accuracy of the SEARCH screening tool for learning problems.
- To determine if SEARCH accurately identifies kindergarten children at risk for reading difficulties.
- To examine the relationship between SEARCH scores and information processing skills.
Main Methods:
- 1107 kindergarten children were evaluated using the SEARCH screening tool.
- Children were categorized based on preacademic achievement scores (below/above third stanine).
- Reading tests were administered to a subset of at-risk children in first and second grade.
Main Results:
- SEARCH identified 26% of children as at risk; accuracy in predicting reading skills was 77%.
- Approximately 50% of children flagged by SEARCH demonstrated adequate reading skills.
- At first and second grade, 39% and 66% of SEARCH-identified children, respectively, performed at grade level.
- Children from higher socioeconomic status (SES) were less likely to be identified as at risk by SEARCH.
Conclusions:
- The SEARCH tool has moderate accuracy but a notable over-identification rate for children at risk for learning problems.
- A significant proportion of children identified as at risk by SEARCH achieve adequate reading skills, suggesting potential for false positives.
- Further research is needed to refine screening methods and address potential socioeconomic biases in identification.
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