Publication Date


Type of Culminating Activity


Degree Title

Master of Arts in Special Education


Special and Early Childhood Education

Major Advisor

Dr. Keith Allred


Using the basic premise of RTI, which is to identify those students at risk, in order to provide timely intervention, this study contributes to the development of a universal screening measure to identify high school at risk of drop out. This study was designed to apply the Early Warning System (EWS) tool developed by the National High School Center as a possible Tier 1 universal screening measure to identify students at risk as part of an RTI framework for the secondary school level. Freshmen data from one high school from the 2004-2005 school year was entered into the EWS tool and compared against the graduation outcomes for the eventual 2007-2008 senior class. Predictor and outcome variables were applied in a logistic regression statistical model and statistical significance was found for the “Quarter 2 absence” and “Core courses failed” predictor variables.

Further research is needed in this area to deepen the understanding of building, implementing and maintaining RTI frameworks at the secondary level. Further research is also needed to define predictor variables unique to Idaho for students at risk for drop out.