This study introduces the signal weighted teacher value-added model (SW VAM), a value-added model that weights student-level observations based on each student's capacity to signal their assigned teacher's quality. Specifically, the model leverages the repeated appearance of a given student to estimate student reliability and sensitivity…

Policies that require the use of information about student achievement to evaluate teacher performance are becoming increasingly common across the United States, but there is some question as to how or whether to use student test-based teacher evaluations when student assessments change. We bring empirical evidence to bear on this issue.…

Research shows that assuming a test scale is equal-interval can be problematic, especially when the assessment is being used to achieve a policy aim like evaluating growth over time. However, little research considers whether teacher value added is sensitive to the underlying test scale, and in particular whether treating an ordinal scale as…

This research examines empirically the relationship between two measures of teacher quality: one based on professional standards and a second one using teacher value-added estimates. It also studies the extent to which teacher observable characteristics, such as teacher training variables, are associated to better performance on either of these…

The Scylla and Charybdis in this discussion of teacher evaluation are standardized achievement test data on the one hand, and classroom observational systems on the other. These are the two most common methods used to judge teachers' competency. Both have serious flaws: the former primarily with validity, the latter primarily with reliability. At…

Value-added models try to separate the contribution of individual teachers or schools to students' learning growth measured by standardized test scores. There is a policy trend to use value-added modeling to evaluate teachers because of its face validity and superficial objectiveness. This article investigates the potential long term consequences…

Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…

Reading ability is one of the most crucial skills learned in elementary school, a primary focus for students in these years. Around the third grade, though, students start transitioning to a skill they will need the rest of their academic and work career--reading to learn. Students begin demonstrating their learning by taking high-stakes…

Value-added data have become an increasingly common evaluation tool for schools and teachers. Many school districts have begun to adopt these methods and have released results publicly. In this paper, we use the unique public release of value-added data in Los Angeles to identify how this measure of school quality is capitalized into housing…

In accordance with the federal No Child Left Behind (NCLB) law of 2001, 100% of students were expected to become proficient on state assessments of reading and mathematics by the end of 2013-2014 academic year. Schools that consistently failed to meet the NCLB's Adequate Yearly Progress requirements were subject to penalties. In 2011, the U.S.…

Effective teaching has long been an issue of national concern, but in recent years focus on the effectiveness of programs to produce high-quality teachers has sharpened. Long-standing achievement gaps persist despite large-scale legislative changes at the federal and state levels, and American students continue to show poorer performance on…