Working from the notion that the goal of middle school is to prepare students to successfully transition to high school, Baltimore Education Research Consortium (BERC) researchers investigated a range of outcomes consistent with this aim, such as performance in ninth grade, promotion to tenth grade, and course grades or test scores in middle…

Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…

While a number of factors have already been shown to impact variations in graduation rates among students in Canada, there is little research examining the changing impact of these factors on Ontario students' secondary education completion over time. This research draws on data from two Grade 9 cohorts (2006 and 2011) from the Toronto District…

Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…

Using administrative data from an urban school district, two series of predictive models were tested for their ability to project a student's high school graduation status. The models included student grades, attendance, behavior, demographic predictors, and school-level variables. Eighth and ninth-grade variables were tested for two graduation…

Students enrolled in public education schools in the State of Texas are required to participate in and secure passage of a norm-referenced state assessment in different grade levels and subject areas. The State of Texas Assessment of Academic Readiness (STAAR) is the norm-referenced assessment used for students in grades third through eighth, and…

Students with Emotional Disturbance (ED) graduate from high school with a standard diploma at rates far below their peers. The present study utilised archival data of former high school students with ED and a nondisabled comparison group to examine graduation-related predictor variables. The results indicated that grade point average and…

Building on previous research showing how well ninth-grade student behaviors predict on-time high school graduation, this experimental study investigates the impact of a ninth-grade intervention on student attendance and course passing. The study, conducted in 41 geographically and demographically diverse high schools within a single state,…

Over the last 100 years, the overwhelming majority of Americans have attended this nation's public schools. There are clearly documented deleterious effects for students who do not successfully graduate from high school. Further, scholars and practitioners have recognized the adverse impacts on communities and the economy. Unfortunately, Colorado…

This longitudinal study of Mexican-American youth and emerging adults examines several ecodevelopmental factors longitudinally predicting high school and college graduation. Data from 1257 Mexican-American youth (including those born in Mexico and whose families are from Mexico) from the National Longitudinal Study of Adolescent Health (Add…

Incisive research from the University of Chicago Urban Education Institute on the prevalence and consequences of absenteeism in Chicago schools has highlighted the dramatic effects of even moderate amounts of absences on grades, graduation rates, and student success in college. These insights spurred not only an ambitious 98% attendance goal on…

This report is part of a long-term collaboration of the Quality Teaching for English Learners initiative at WestEd with the Fort Worth Independent School District. The objective of this report is to explore how ninth grade data can predict the graduation outcomes of newcomers. Based upon predictor variables, binary indicators can identify students…

In partnership with the Midwest Dropout Prevention Research Alliance the study team used student-level data and a five-step process to identify the most accurate indicators of students' failure to graduate from high school on time. Student-level data came from attendance records, transcripts, and discipline records of grade 8 and 9 students in…

This study analyzed data on students in three Ohio school districts who had completed grades 8 and 9 to determine which data elements were the most accurate indicators of students' failure to graduate from high school on time. The most accurate indicators varied by district and grade level, which underscores the importance of having school systems…

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…