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McMahon, Brian M. – ProQuest LLC, 2018
Recent literature on high school graduation and drop out have shifted the focus from identifying causes of drop out to identifying students who are at risk of dropping out. The Early Warning Systems (EWS) used to identify students seek to use existing data to predict which students have a greater risk of dropping out of school so that schools can…
Descriptors: Predictor Variables, High School Graduates, At Risk Students, Dropout Prevention
Houston Independent School District, 2020
The Houston Independent School District (HISD) first instituted the Wraparound Services during the 2016-2017 school year as a school-based approach to providing non-academic services to students, which was guided by a 2017 consultation report by the Boston Consulting Group. The expectation was that the provision of non-academic services would…
Descriptors: Holistic Approach, Pupil Personnel Services, School Districts, At Risk Students
Cratty, Dorothyjean – Economics of Education Review, 2012
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to…
Descriptors: At Risk Students, Dropouts, High School Students, Probability
Massachusetts Department of Elementary and Secondary Education, 2013
The Massachusetts Department of Elementary and Secondary Education (Department) created the grades 1-12 Early Warning Indicator System (EWIS) in response to district interest in the Early Warning Indicator Index (EWII) that the Department previously created for rising grade 9 students. Districts shared that the EWII data were helpful, but also…
Descriptors: Dropout Prevention, Risk, Models, Identification