Helping Teachers Use Early Literacy Screening Data to Prioritize Intervention

This session is from the NASP 2021 Annual Convention

  • PMD: 1,3
  • Skill Level: Intermediate

Learner Objectives

This session will help participants…

  1. describe the predictive validity of the EL-IGDIs.
  2. describe the relative predictive power of each of the EL-IGDIs.
  3. describe how the predictive models can be used to prioritize intervention efforts.

Description

How do educators decide how to prioritize early literacy intervention when children are below benchmark in more than one domain? This session will describe data from a commonly used preschool early literacy and language measure (Individual Growth and Development Indicators) to illustrate how to use empirical predictive validity results to inform how to prioritize intervention targets. School psychologists will benefit from strategies to improve data-based decision making in the context of early literacy assessment.

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Presenter(s)

Alisha Wackerle-Hollman, University of Minnesota
Robin L. Hojnoski, Lehigh University
Kristen Missall, University of Washington
Kristin E. Running, University of Minnesota

Letter to Supervisor

Looking for a concise way to pitch the convention to your employer? This letter and the corresponding talking points are here to help!

Preliminary Brochure

Share our NASP 2022 preliminary brochure with your supervisor along with the above letter.