Within the data-based individualization (DBI) framework, when a student shows limited response to a validated intervention implemented with fidelity, educators use diagnostic data to inform decisions about how to intensify instruction. Error analysis is one diagnostic process that involves examining student errors to identify patterns and better understand a student’s instructional needs.

In this webinar, Dr. Jessica Toste presents a step-by-step process for analyzing errors in a student’s oral reading. She demonstrates how educators can use information from error analysis to make data-informed decisions about how to intensify instruction and better align intervention supports with individual student needs.