The Knowledge Is Power Program (KIPP) is an influential and rapidly growing nationwide network of charter schools serving primarily disadvantaged minority students. Prominent elements of KIPP's educational model include high expectations for student achievement and behavior, and a substantial increase in time in school. KIPP is being watched…

We consider the challenges and implications of controlling for school contextual bias when modeling teacher preparation program effects. Because teachers are not randomly distributed across schools, failing to account for contextual factors in achievement models could bias preparation program estimates. Including school fixed effects controls for…

As test-based educational accountability has moved to the forefront of national and state education policy, so has the desire for better measures of school performance. No Child Left Behind's (NCLB) status and safe harbor measures have been criticized for being unfair and unreliable, respectively. In response to such criticism, in 2005 the federal…

Recent research attributes the lack of merit pay in teaching to the resistance of teachers. This article examines whether the structure of merit pay affects the types of teachers who support it. We develop a model of the relative utility teachers receive from merit pay versus the current fixed schedule of raises. We show that if teachers are risk…

Value-added modeling continues to gain traction as a tool for measuring teacher performance. However, recent research questions the validity of the value-added approach by showing that it does not mitigate student-teacher sorting bias (its presumed primary benefit). Our study explores this critique in more detail. Although we find that estimated…

In 2001, California instituted a statewide test measuring English proficiency for English learners, students who are not proficient in English. In 2003 and 2004, nearly 500,000 English learners in grades 1-5 took this test each year. The relationship between bilingual education receipt and English proficiency is estimated using value-added…

The purpose of this study was to evaluate the sensitivity of growth and value-added modeling to the way an underlying vertical score scale has been created. Longitudinal item-level data were analyzed with both student- and school-level identifiers for the entire state of Colorado between 2003 and 2006. Eight different vertical scales were…

Value-added indicators are now a central part of school accountability in England, and value-added information is routinely used in school improvement at both the national and the local levels. This article describes the value-added models that are being used in the academic year 2007-8 by schools, parents, school inspectors, and other…

This article develops a model for longitudinal student achievement data designed to estimate heterogeneity in teacher effects across students of different achievement levels. The model specifies interactions between teacher effects and students' predicted scores on a test, estimating both average effects of individual teachers and interaction…

Fixed effects models are often useful in longitudinal studies when the goal is to assess the impact of teacher or school characteristics on student learning. In this article, I introduce an alternative procedure: adaptive centering with random effects. I show that this procedure can replicate the fixed effects analysis while offering several…

The ability of school (or teacher) value-added models to provide unbiased estimates of school (or teacher) effects rests on a set of assumptions. In this article, we identify six assumptions that are required so that the estimands of such models are well defined and the models are able to recover the desired parameters from observable data. These…

This article considers potential impediments to the estimation of teacher quality caused primarily by the purposeful behavior of families, administrators, and teachers. The discussion highlights the benefits of accounting for student and school differences through a value-added modeling approach that incorporates a student's history of family,…

Nonrandom assignment of students to teachers can bias value-added estimates of teachers' causal effects. Rothstein (2008, 2010) shows that typical value-added models indicate large counterfactual effects of fifth-grade teachers on students' fourth-grade learning, indicating that classroom assignments are far from random. This article quantifies…

Governance is widely believed to be an important determinant of the effectiveness of educational systems. Yet there are few systematic evaluations of the linkages between educational governance and student outcomes, or cogent frameworks for evaluating the effectiveness of governance arrangements in a way that can guide potential policy changes. In…

The impact of peers on student outcomes has important policy implications for how students are organized into classes and the overall impact of education interventions. But it is difficult to accurately measure peer effects because of the nonrandom sorting of students and teachers into classrooms and the endogeneity of peers' achievement. In this…