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Yoon, Susan; Quinn, Camille R.; Shockley McCarthy, Karla; Robertson, Angela A. – Youth & Society, 2021
The primary aim of this study was to examine gender and racial differences in the association between system involvement types (i.e., child protective services [CPS] only, juvenile justice system only, and dual involvement) and academic outcomes (i.e., grade failure, chronic absenteeism). This study used records from a linked database of public…
Descriptors: Gender Differences, Racial Differences, Child Welfare, Juvenile Justice
Grissom, Jason A.; Mitani, Hajime; Blissett, Richard S. L. – Educational Evaluation and Policy Analysis, 2017
Many states require prospective principals to pass a licensure exam to obtain an administrative license, but we know little about the potential effects of principal licensure exams on the pool of available principals or whether scores predict later job performance. We investigate the most commonly used exam, the School Leaders Licensure Assessment…
Descriptors: Principals, Licensing Examinations (Professions), Job Performance, Racial Differences
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
Lindsay, Keston; Carlsen-Landy, Bev; Boaz, Cammy; Marshall, David – International Journal of Research in Education and Science, 2017
Supplemental Instruction (SI) is a program that seeks to improve student success by targeting classes with high failure rates, as defined with a failure percentage of 30% or more. It is organized by an administrative SI supervisor who supervises SI leaders, which are students that have successfully completed the courses that they have been…
Descriptors: Predictor Variables, Academic Achievement, Supplementary Education, College Students
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
Roderick, Melissa; Kelley-Kemple, Thomas; Johnson, David W.; Beechum, Nicole O. – University of Chicago Consortium on Chicago School Research, 2014
In 2007, spurred by University of Chicago Consortium on Chicago School Research (UChicago CCSR) research reports, leadership at the Chicago Public Schools (CPS) began a new targeted approach to reducing course failure in the ninth grade. The research suggested that the transition between eighth and ninth grade played a critical role in shaping…
Descriptors: Urban Schools, Public Schools, Grade 9, Academic Failure
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 – Online Submission, 2010
The most powerful predictors of overall dropout risk among Austin Independent School District (AISD) 9th graders were failing either the state of Texas reading or math TAKS tests, having school attendance below 90%, and being 16 years or older at the start of the school year.
Descriptors: Grade 9, At Risk Students, Dropouts, Attendance
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
Grayson, J. Paul – 1996
This study examined voluntary and involuntary withdrawal rates of students of various racial origins at York University in Ontario (Canada). Data were obtained from three surveys of first-year students conducted in 1993, 1994, and 1995, and involving 1,864 students. Information on Ontario Academic Credit (OAC) marks, first year grade point…
Descriptors: Academic Failure, Academic Persistence, Black Students, College Students
Zill, Nicholas – 1992
Education professionals have long known that family background is a stronger predictor of academic success than are school or teacher characteristics. The past 30 years have seen a series of drastic alterations in patterns of family living in the United States, and these changes mean that a substantial number of youngsters are being born or are…
Descriptors: Academic Achievement, Academic Failure, Children, Disadvantaged Youth