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Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables
Papay, John P.; Murnane, Richard J.; Willett, John B. – Journal of Research on Educational Effectiveness, 2014
We examine whether barely failing one or more state-mandated high school exit examinations in Massachusetts affects the probability that students enroll in college. We extend the exit examination literature in two ways. First, we explore longer term effects of failing these tests. We find that barely failing an exit examination, for students on…
Descriptors: Exit Examinations, Adolescents, Evidence, Regression (Statistics)
Regional Educational Laboratory Mid-Atlantic, 2020
The document are the appendixes for the full report, "Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks." The study team collected and linked five academic years of student-level administrative data from Pittsburgh Public Schools (PPS), Propel Schools, and the Allegheny County Department of Human…
Descriptors: Elementary Secondary Education, Public Schools, Charter Schools, At Risk Students
Mac Iver, Martha Abele; Messel, Matthew – Council of the Great City Schools, 2012
This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…
Descriptors: Academic Achievement, Grade Point Average, Enrollment, Behavior Problems
Brunner, Josie; Malerba, Cathy – Online Submission, 2010
This research brief provides highlights from the full report (published separately). In the report on AISD students, with a focus on the graduating class of 2009, the most powerful predictors of overall student dropout risk were having an 8th-grade attendance rate of less than 90% and failing both the 8th-grade reading and math TAKS tests. [For…
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts
Brunner, Josie; Malerba, Cathy – Online Submission, 2009
In this report on AISD students, with a focus on the graduating class of 2009, the most powerful predictors of overall student dropout risk were having an 8th-grade attendance rate of less than 90% and failing both the 8th-grade reading and math TAKS tests. A separate research brief also was published. [For the research brief, see ED628171.]
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts

Bryk, Anthony S.; Thum, Yeow Meng – American Educational Research Journal, 1989
A hierarchical linear model analysis investigated the effects of structural and normative features of schools on absenteeism and the probability of dropping out. Subjects included 4,450 sophomores in 160 Catholic and public high schools from the High School and Beyond 1980 cohort. (SLD)
Descriptors: Academic Failure, Attendance, Dropouts, Enrollment
Frazer, Linda – 1991
The Austin (Texas) Independent School District has been researching the dropout issue for several years and has studied the implementation of the mandated Texas at-risk criteria to identify at-risk students. Having identified students at risk, the district followed them for 4 years (1987-88 to 1990-91) to determine the accuracy of the initial…
Descriptors: Academic Failure, Age, Dropout Rate, Educational Trends