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Measuring value-added in education
 Potužníková, Eva ; Greger, David (advisor) ; Veselý, Arnošt (referee) ; Ježek, Stanislav (referee)
Value-added measurement is a general term for a variety of approaches that assess school effectiveness based on their students' learning progress. In the context of growing interest in monitoring educational achievement, value-added is gaining importance as a fairer measure of school contribution to student learning. The aim of this work is to give an overview of main approaches to value-added measurement and to prove their applicability in the Czech education system. Value-added is measured by statistical models that rely on the method of linear regression but vary in how they model the school effects and which independent variables they use. Value-added scores estimated by nine different models are compared in the empirical part of this work. The study uses data of 3016 students from 141 basic schools assessed in grades 4 and 6 in the Czech Longitudinal Study in Education (CloSE). Value-added estimates differ from average raw test scores and from effectivity estimates obtained from models that account for the students' socio-demographic characteristics but not for their prior test achievement. School effects obtained from different value-added models are highly correlated, but simple regression models classify more schools into groups with above-average or below-average value-added. Simple...
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2 POTUŽNÍKOVÁ, Eliška
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