This working paper investigates how empirical Bayes shrinkage, an approach commonly used in implementing teacher accountability systems, affects the value-added estimates of teachers of students with hard-to-predict achievement levels, such as students who have low prior achievement and receive...

This issue brief from Mathematica’s multi-year evaluation of SIG for the U.S. Department of Education, Institute of Education Sciences, sheds light on which individual SIG practices (and what combinations of practices) low-performing schools adopted.

This issue brief from Mathematica’s multi-year evaluation of SIG for the U.S. Department of Education, Institute of Education Sciences, sheds light on which individual SIG practices (and what combinations of practices) low-performing schools adopted.

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This working paper investigates how empirical Bayes shrinkage, an approach commonly used in implementing teacher accountability systems, affects the value-added estimates of teachers of students with hard-to-predict achievement levels, such as students who have low prior achievement and receive...