Mark J. Chin
Cambridge, MA 02138
Institutional Affiliation: Harvard University
NBER Working Papers and Publications
|October 2017||School District Reform in Newark: Within- and Between-School Changes in Achievement Growth|
with , , , : w23922
In 2011-12, Newark launched a set of educational reforms supported by a gift from Facebook CEO Mark Zuckerberg and Priscilla Chan. Using data from 2009 through 2016, we evaluate the change in Newark students’ achievement growth relative to similar students and schools elsewhere in New Jersey. We measure achievement growth using a “value-added” model, controlling for prior achievement, demographics and peer characteristics. By the fifth year of reform, Newark saw statistically significant gains in English and no significant change in math achievement growth. Perhaps due to the disruptive nature of the reforms, growth declined initially before rebounding in recent years. Aided by the closure of low value-added schools, much of the improvement was due to shifting enrollment from lower- to hi...
Published: Mark Chin & Thomas J. Kane & Whitney Kozakowski & Beth E. Schueler & Douglas O. Staiger, 2019. "School District Reform in Newark: Within- and Between-School Changes in Achievement Growth," ILR Review, vol 72(2), pages 323-354. citation courtesy of
|June 2017||An Evaluation of Bias in Three Measures of Teacher Quality: Value-Added, Classroom Observations, and Student Surveys|
with , , : w23478
There are three primary measures of teaching performance: student test-based measures (i.e., value added), classroom observations, and student surveys. Although all three types of measures could be biased by unmeasured traits of the students in teachers’ classrooms, prior research has largely focused on the validity of value-added measures. We conduct an experiment involving 66 mathematics teachers in four school districts and test the validity of all three types of measures. Specifically, we test whether a teacher’s performance on each measure under naturally occurring (i.e., non-experimental) settings predicts performance following random assignment of that teacher to a class of students. Combining our results with those from two previous experiments, we provide further evidence that val...