In educational research and policy circles, college and career readiness is generating great interest. States are adopting various policy initiatives, such as rigorous curricular requirements, to increase students' preparedness for life after high school. Implicit in many of these initiatives is the idea that college readiness and career…

This study investigates how the expectations of different types of financial aid affect the student college choice process from application through enrollment. We find that students from different race and income groups respond differentially to aid packages in their application and enrollment decisions depending on their levels of aid…

Using national survey data and discrete-time logit modeling, this research seeks to understand whether student aid mediates the relationship between parental income and student dropout behavior. Our analysis confirms that there is a gap in dropout rates for low-income students compared with their upper income peers, and suggests that some types of…

This paper demonstrates a formal statistical test that can be used to help researchers make decisions about alternative statistical model specifications. This test is commonly used by researchers who would like to test whether adding new variables to a model improves the model fit. However, we demonstrate that this formal test can also be employed…

Used the National Center for Education Statistics' postsecondary transcript file of the High School and Beyond/Sophomore Cohort to replicate findings of Adelman's "Answers in the Tool Box" study. Used event history modeling to provide additional information about how several factors affect time to bachelor's degree attainment. Findings concurred…

Fit a statistical model to historical college enrollment data, testing whether the model could accurately predict enrollment out-of-sample, and used the results to segment admitted students into groups so that different recruitment and marketing interventions could be applied to encourage enrollment. (EV)

Applied the technique of artificial neural networks to predict which students were likely to apply to one research university. Compared the results to the traditional analysis tool, logistic regression modeling. Found that the addition of artificial intelligence models was a useful new tool for predicting student application behavior. (EV)

Recent negotiations to amend the tuition reciprocity agreement between Minnesota and Wisconsin would require Wisconsin students attending the University of Minnesota-Twin Cities campus to pay a tuition surcharge. Simulations of how the proposed changes would affect enrollment and revenue showed that the proposed surcharge would not adversely…