Student Retention Analysis
Society will always need engineers, hence at ASU there is an interest on retaining as many students as possible. This research project attempts to use statistics to find factors that contribute to student retention and develop a retention plan. Using linear regression on student data, factors such as GPA, probation status, and the number of hours enrolled have been found to be significant and to contribute to student retention. Future work includes residual analysis to measure accuracy of the models and developing a definition of an “at risk level” to indicate which students to prioritize in terms of intervention programs.