Session: Early Identification of Struggling Learners: Improving Screening for Children at Risk for Reading Difficulty (Society for Prevention Research 25th Annual Meeting)

3-065 Early Identification of Struggling Learners: Improving Screening for Children at Risk for Reading Difficulty

Schedule:
Thursday, June 1, 2017: 3:00 PM-4:30 PM
Bryce (Hyatt Regency Washington, Washington, DC)
Theme: Promoting health equity and decreasing disparities through Public Systems of Care and Policy
Symposium Organizer:
Brett Miller
Discussant:
Lynne Vernon-Feagans
Ample evidence exists that demonstrates the power of early intervention to reduce reading difficulties, but such intervention efforts necessitate effective identification of children at-risk for learning difficulties and more intensive intervention services to develop efficient reading skills. This paper symposium will focus on state-of-the-science approaches to conceptualize risk for reading disability across a range of populations. This symposium supports the conference theme of promoting equity and decreasing disparities through systems of care and policy through its goal to enhance early identification of students who systematically experience obstacles in accessing services and supports necessary to becoming fluent readers. The session integrates research across different populations and prevention frameworks to explore a critical task for educators – identifying students who need intensive support. The papers include:

1) Evaluating and extending multivariate-multistage screening models to early identify children at high risk for developing reading difficulties.The authors describe analyses of a large, population-level database to test the effectiveness of multi-stage models’ predictions of reading difficulties in situations where learner data is limited. Next, the authors investigate advanced modeling techniques to identify more effective methods of identifying children at-risk for reading problems under sparse data conditions with the goal of expanding the effectiveness of broader screening efforts in real world settings.

2) Examining Language and Risk: Linguistic Difference and the Development of Early Reading Skills. The presenter will describe work with African American children who speak a non-mainstream American English (NMAE) dialect, which is different from the instructional dialect in most schools, and live in poverty. The presentation will highlight what is known about reading development in children who speak NMAE and its implications for how reading disability is identified and/or classified so that interventions can be better targeted to these students earlier.

3) Early Identification of Reading Disabilities in Spanish-Speaking English Learners.This paper describes research examining the identification and classification of reading and language disabilities among Spanish-speaking English language learners (ELLs), the fastest growing subgroup of students in U.S. public schools and who are disproportionately at risk for poor academic outcomes. The presenter will discuss comparisons of different disability identification and classification methods and examine student and contextual factors related to the consistency and inconsistency in identifications within and across classifications over time.

A reading expert, who works with at-risk children, will serve as discussant and address common issues across presentations, challenges for future research, and engage attendees to encourage comments and questions.


* noted as presenting author
367
Evaluating and Extending Multivariate-Multistage Screening Models to Early Identify Children at High Risk for Developing Reading Difficulties
Donald Compton, PhD, Florida State University; Yaacov Petscher, PhD, Florida State University; Christopher Schatschneider, PhD, Florida State University; Richard Wagner, PhD, Florida State University; Laura Steacy, EdD, Florida State University; Hugh Catts, PhD, Florida State University
369
Early Identification of Reading Disabilities in Spanish-Speaking English Learners
David Francis, PhD, University of Houston; Kristi Stanti, PhD, University of Houston; Raul Rojas, PhD, University of Texas at Dallas; Ferenc Bunta, PhD, University of Houston; Shiva Khalaf, M.A., University of Houston