Poster: "Using Child Characteristics to Predict Reading Difficulties – in the Context of A2i"
Event: 2018 School of Education Research Poster Celebration
Date: Friday, September 28, 2018
Time: 3:30-5:00 pm
Location: School of Education Courtyard
Presenter: Dandan Yang
Poster Title: "Using Child Characteristics to Predict Reading Difficulties – in the Context of A2i"
Poster Advisor: Carol M. Connor
This study examines what child characteristics in the first grade may predict the likelihood of having reading difficulties at a later age for a sample of 373 students in Florida. Logistic regression models revealed that characteristics such as sound awareness skills, gains in reading comprehension during the first grade, and whether students received effective personalized literacy instruction using the Assessment to Instruction software, were predictors of reading difficulties at the end of second grade. These findings are important in helping educators and teachers to early identify students who will be at risk for reading difficulties. The interaction effects also provided evidence on how effective interventions can lower the probability of being risk for dyslexia.
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