Focusing on a cohort of high school students from a Midwest metropolitan region, this study combines multiple sources of data and uses a multinomial logistic regression to model student postsecondary choices with respect to whether and where to attend college. Specifically, we examined the enrollment patterns by proximity to the home region and…

This study examines high school students' confidence in their planned college major with an emphasis on students planning to study one of the Science, Technology, Engineering, and Mathematics (STEM) fields. The study draws on responses from the ACT Student Interest Inventory of the Illinois High School Class of 2003, which asks students about…

This study examined how various individual, family, and school level contextual factors impact the likelihood of planning to major in one of the science, technology, engineering, or mathematics (STEM) fields for high school students. A binary logistic regression model was developed to determine the extent to which each of the covariates helped to…