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State longitudinal data systems connect datasets traditionally housed between multiple state agencies, such as a state educational agency overseeing K-12 education with data from a commission for higher education.
This report found that absences, course failures, course credits and GPA all can be used to accurately predict whether ninth-graders with disabilities will graduate from high school. Identifying these early warning indicators is especially crucial for students with disabilities, who drop out of high school at alarming rates.