Examines how teaching conditions predict teacher turnover in California schools, especially those serving low-income, low-achieving, and minority students.
Documents striking differences in teacher qualifications across New York State schools and how attrition, transfers, and initial job matches shape them.
Proposes a general approach to measuring test measurement error, including day-to-day variation in student performance that reliability estimates miss.
Analyzes attrition among New York City elementary and middle school teachers and whether those who transfer or leave are more or less effective than those who stay.
Asks whether teachers who are effective with one group of students are equally effective with others, testing the consistency of value-added measures across subgroups.
Examines recent changes in the academic competitiveness of the teacher workforce amid No Child Left Behind, alternative pathways, and labor market shifts.
Argues value-added measures offer little guidance for individual teacher improvement but can inform decisions about programs, staffing, and incentives.