We examine the views of low-income urban parents toward their neighborhood school. Policymakers must understand the attitudes of these individuals, particularly because they represent some of the most vulnerable groups in our education system. As national education policies have made it easier for parents to choose schools, attention has…

We use data from Washington State to examine two stages of the teacher pipeline: the placement of prospective teachers into student teaching assignments and the hiring of prospective teachers into their first teaching positions. We find that prospective teachers are likely to complete their student teaching near their college and hometowns but…

We use data from Washington State to examine two stages of the teacher pipeline: the placement of prospective teachers in student teaching assignments; and the hiring of prospective teachers into their first teaching positions. We find that prospective teachers are likely to complete their student teaching near their college and hometowns, but…

Over 2,000 teachers in the state of Washington received reduction in force (RIF) notices across the 2008-09 and 2009-10 school years. We link data on these RIF notices to an administrative data set that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF…

Student loan default, defined as federal loan borrowers' failure to make any payments for at least 270 days, is an issue of increasing importance to community colleges and their students. This report takes a unique look at student loan default at nine community colleges across the nation, and how those colleges are working to help students avoid…

In order to understand whether loans actually expand opportunities among community college students, it is important to understand who is borrowing and who is not. A binary logistic regression was used to determine which financially needy students are likely to borrow from federal loan programs. The current study found that the following types of…

Most of the emphasis on mining online assessment logs has been to identify content-specific errors. However, the pattern of general "consistency" is domain independent, strongly related to performance, and can itself be a target of educational data mining. We demonstrate that simple consistency indicators are related to student outcomes,…

This nonexperimental, longitudinal field study examines the extent to which variation in observed classroom supports (quality of emotional and instructional interactions and amount of exposure to literacy and math activities) predicts trajectories of achievement in reading and math from 54 months to fifth grade. Growth mixture modeling detected…

Extending previous studies, the authors examined a larger set of variables to identify predictors of student performance on the Educational Testing Service Major Field Exam in Business, which has been shown to be an externally valid measure of student learning outcomes. Significant predictors include gender, whether students took the SAT, and…

The intent of the No Child Left Behind (NCLB) Act of 2001 is to hold schools accountable for ensuring that all their students achieve mastery in reading and math, with a particular focus on groups that have traditionally been left behind. Under NCLB, states submit accountability plans to the U.S. Department of Education detailing the rules and…

The intent of the No Child Left Behind (NCLB) Act of 2001 is to hold schools accountable for ensuring that all their students achieve mastery in reading and math, with a particular focus on groups that have traditionally been left behind. Under NCLB, states have leeway to: (1) Craft their own academic standards, select their own tests, and define…