Dan Goldhaber, Professor, University of Washington-Bothell
Susanna Loeb, Barnett Family Professor of Education, Stanford University
Webminar
Carnegie Panelists Dan Goldhaber, director of the Center for Education Data & Research and a professor at the University of Washington Bothell, and Susanna Loeb, director of the Center for Education Policy Analysis and a professor at Stanford University, address this question in the latest knowledge brief from the Carnegie Knowledge Network’s What We Know Series on Value-Added Methods and Applications.
Goldhaber and Loeb note that evaluators have to rely on inherently imperfect measures to rate teachers. As a result, evaluating teachers to group them into performance categories will inevitably lead to errors. Errors result in “false positives" and "false negative” classifications, which have important implications for students and teachers.
About the Carnegie Knowledge Network
The goal of the Carnegie Knowledge Network (CKN) is to synthesize emerging knowledge on the rapidly changing landscape of teacher evaluation policy and practice in the United States and to provide an environment for conversation around the toughest challenges. Learn more about the CKN difference.