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Predicting reading success in a multilevel schoolwide reading model: a retrospective analysis
David J Chard1, Mike Stoolmiller, Beth A Harn
1School of Education and Human Development, Southern Methodist University, P.O. Box 750382, Dallas, TX 75275-0382, USA. dchard@smu.edu
Journal of Learning Disabilities
|March 22, 2008
Summary
This study examined student predictors of reading success in a multitiered intervention model. Key variables effectively predicted oral reading fluency and third-grade reading performance for at-risk students.
Area of Science:
- Educational Psychology
- Literacy Research
- Developmental Psychology
Background:
- Numerous student variables are known predictors of reading success or failure.
- These predictors have not been integrated into contemporary multitiered schoolwide reading intervention models.
- Understanding these variables is crucial for effective early reading intervention.
Purpose of the Study:
- To examine the validity of key student predictor variables in a longitudinal, retrospective study.
- To determine the predictive power of these variables for initial status and growth in oral reading fluency.
- To assess their ability to predict third-grade oral reading fluency and standardized reading test performance.
Main Methods:
- Longitudinal, retrospective study design.
- Followed 668 kindergarten and first-grade students identified as at risk for reading difficulties through third grade.
- Examined key predictor variables' validity for predicting reading outcomes.
Main Results:
- Specific student variables demonstrated significant predictive validity for oral reading fluency.
- These variables accurately forecast initial reading status and growth trajectories.
- Predictor variables were also effective in forecasting third-grade reading performance on standardized tests.
Conclusions:
- The findings support the integration of identified student variables into multitiered schoolwide reading interventions.
- These variables offer valuable insights for instructional adjustments and assessment strategies.
- Effective early identification and intervention can be enhanced by considering these key predictors.
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