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Download full textReardon, Sean F.; Papay, John P.; Kilbride, Tara; Strunk, Katherine O.; Cowen, Joshua; An, Lily; Donohue, Kate – Stanford Center for Education Policy Analysis, 2019
In this paper we compare two approaches to measuring the average rate at which students learn in a given school or district. One type of measure--longitudinal growth measures--relies on student-level longitudinal data. A second type--cohort growth measures--relies only on repeated aggregated, cross-sectional data. Because student-level data is…
Descriptors: Measurement Techniques, Growth Models, Cohort Analysis, Longitudinal Studies
Data Quality Campaign, 2010
Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…
Descriptors: Academic Achievement, Feedback (Response), High School Graduates, Graduation Rate
