To measure "treatment" effects, social science researchers typically rely on nonexperimental data. In education, school and teacher effects on students are often measured through value-added models (VAMs) that are not fully understood. We propose a framework that relates to the education production function in its most flexible form and…

Inappropriate treatment of missing data may introduce bias into the value-added estimation. We consider a commonly used value-added model (VAM), which includes the past student test score as a covariate. We formulate a joint model of student achievement and missing data, in which the probability of observing a test score depends on observing the…

The federal Race to the Top competition provided significant impetus for states to adopt value-added models as a part of their teacher evaluation systems. Such models typically link students to their teachers in the spring semester when statewide tests are administered and estimate a teacher's performance based on his or her students' learning…

Through comparative case study, we seek to understand the ways in which actors in high schools use and think about performance data. In particular, we compare data use in higher and lower value-added schools. Data use is conceptualized here as having access to a host of available performance data on students, using them to guide instructional…