In 2012, New Jersey implemented a broad change to the teacher evaluation system with the Teacher Effectiveness and Accountability for the Children of New Jersey (TEACHNJ) Act which identified the Marzano Causal Teacher evaluation system as one of the prescribe models for districts to adopt. This system provides a more differentiated teacher…

There is a longstanding debate over how to evaluate teachers. Various models of teacher evaluation tools including observations, teaching artifacts, or frequent walkthroughs, provide evidence of daily classroom performance. Although there are questions on the most efficient means by which to complete evaluations, most agree evaluative tools must…

The purpose of this study was to investigate the relationship between the TVAAS growth score given by the Tennessee Department of Education and the overall Tennessee Educator Assessment Model (TEAM) observation rating for teachers in grades 3 through 8. The participating county public school system for this study is located in Northeast Tennessee.…

In 2010, the federal government increased accountability expectations by placing more emphasis on monitoring teacher performance. Using a model that focuses on the New York State teacher evaluation system, that is comprised of a rubric for observation, local student assessment scores, and student state assessment scores, this…

This study explored the relationships among the components of the Arizona Department of Education's new teacher evaluation model, with a particular focus on the extent to which ratings from the state model's teacher observation instrument differentiated higher and lower performance. The study used teacher-level evaluation data collected by the…

We use administrative data on North Carolina public schools to document the tendency for more highly qualified teachers to be matched with more advantaged students, and we measure the bias this pattern generates in estimates of the impacts of various teacher qualifications on student achievement. One of the strategies we use to minimize this bias…