Increasing numbers of students require internet access to pursue their undergraduate degrees, yet broadband access remains inequitable across student populations. Furthermore, surveys that currently show differences in access by student demographics or location typically do so at high levels of aggregation, thereby obscuring important variation…

This study aims to improve our understanding of the postsecondary impacts of high schools by investigating whether or not exposure to different high school contexts may explain academic performance once in college. Drawing on a sample of 3,750 participants from the National Longitudinal Survey of Freshmen, descriptive and multivariate analyses…

The purpose of this paper is to build a predictive model of enrollment that provides data driven analysis to improve undergraduate recruitment efforts. We utilize an inquiry model, which examines the enrollment decisions of students that have made contact with our institution, a medium sized, public, Doctoral I university. A student, who makes an…

Geographic demographic characteristics of 120 Kentucky counties were utilized to group counties with similar characteristics. ACT test results, demographic data, and enrollment data for high school graduates enrolled in Kentucky state-supported colleges were analyzed to determine whether geographic origin influenced college attendance. (Author/MLW)

Multiple regression analysis was used to establish a scale, measuring college student involvement in campus activities, work experience, technical background, references, and goals. This scale was tested to see whether it improved the prediction of success in graduate school. (Author/MLW)

To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data mining approach identifies the specific aspects of students' university experience that most influence three measures of general satisfaction. The…