Degree Name

EdD (Doctor of Education)


Educational Leadership

Date of Award


Committee Chair or Co-Chairs

Dr. William Flora

Committee Members

Dr. Pamela Scott, Dr. Don Good


This researcher aimed to determine how data collected from computer-based assessment programs, specifically EasyCBM and AIMSweb, was used in data-driven instruction and used to identify risk levels in math and reading areas proficiency. Data from intervention programs were collected from six participating high schools. The data collection included math and reading universal screening scores and levels of risk indicators from Tier 2 and Tier 3 levels of their response to intervention (RTI) programs. Section A included math data within a baseline score and a risk indicator level. Section B had reading scores with a baseline score and a risk indicator level.

A descriptive quantitative study was conducted to determine if significant differences in EasyCBM and AIMSweb exist in student universal screener scores over an academic calendar year. Independent variables included: math and reading universal screener scores, tier level identifiers, and level of risk indicators. Factors that influenced the rates of effectiveness included: interventionist utilization of data, student entry tier levels, and time spent in intervention from the fall to winter benchmarking period.

Document Type

Dissertation - unrestricted


Copyright by the authors.