Better Data, Better Methods, Better Decisions? Using Statewide Longitudinal Data Systems to Create Early Warning Systems for Literacy Intervention
Type
I combine information from a kindergarten entry assessment and a statewide longitudinal data system to explore how these emerging data could improve the accuracy of intervention identification. Manuscript available upon request.
Walter Herring
PhD student in Education Policy Studies
Walter Herring is a doctoral student in Education Policy Studies at the University of Virginia. His research primarily explores how stakeholders can leverage emerging data from the early elementary to inform decision making. He is currently on the job market.