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Nian, Qinghua; Cox, Christopher – AERA Online Paper Repository, 2019
Students in public education are expected to attend school on a regular basis to learn. This study applied multiple linear regression models and binary logistic regression models to analyze the effect of risk of early chronic absence pattern on later math achievement by using student level longitudinal data. Results showed that students with small…
Descriptors: Attendance Patterns, Children, Elementary School Students, At Risk Students
Ohio Department of Education, 2017
It is important for every student in Ohio to attend school every day. Missing too much school has longterm, negative effects on students, such as lower achievement and graduation rates. There are many reasons students miss school, but districts often can directly impact their students' attendance. By using data to identify and support students who…
Descriptors: Attendance Patterns, School Districts, Strategic Planning, Prevention
Achieve, Inc., 2013
This policy brief is a guide for state education policy leaders to use in selecting and prioritizing college- and career-ready student performance indicators. These indicators can be built into the state's accountability system through public reporting, statewide performance goals, school-level incentives, and accountability formulas used to…
Descriptors: College Readiness, Career Readiness, Academic Achievement, Educational Indicators
Augustine, Catherine H.; McCombs, Jennifer Sloan – State Education Standard, 2015
The Wallace Foundation is funding a multiyear demonstration project to determine whether voluntary, district summer learning programs can stem summer learning loss for low-income students. Six districts--Boston, Cincinnati, Dallas, Duval County (Florida), Pittsburgh, and Rochester, New York--were selected for the demonstration project and…
Descriptors: Summer Programs, Low Income Groups, At Risk Students, Program Effectiveness