Value-added is the most robust, statistically significant method for connecting teachers to students. In other words, value-added analysis links teachers to students and, for the very first time, allows educators to see the amount of growth they are facilitating with students. Built around the value-added analysis professional development work of Battelle for Kids, this book for district and school leaders prepares educators to understand and implement value-added analysis in order to ensure that all students are achieving and progressing. By providing a user-friendly, five-step implementation process along with success stories of schools, teachers, and students as well as strategies, samples, and tools, this book will equip educators to use value-added analysis to help accelerate student progress. It is written to inform readers about what value-added analysis is and to help them utilize value-added information in a classroom and/or school setting.

Value-added assessment (VAA) systems use statistical techniques to analyze test-score data; VAA data is intended to help educators make more informed decisions about curriculum and instruction. The authors examined the rollout of Pennsylvania's VAA program, and found that, in its pilot phase, the program had little effect on student achievement and received limited use by most principals and teachers at schools participating in the program.

Value-added assessment (VAA) systems use statistical techniques to analyze test-score data; VAA data is intended to help educators make more informed decisions about curriculum and instruction. The authors examined the rollout of Pennsylvania's VAA program, and found that, in its pilot phase, the program had little effect on student achievement and received limited use by most principals and teachers at schools participating in the program.

Value-added methods refer to efforts to estimate the relative contributions of specific teachers, schools, or programs to student test performance. In recent years, these methods have attracted considerable attention because of their potential applicability for educational accountability, teacher pay-for-performance systems, school and teacher improvement, program evaluation, and research. Value-added methods involve complex statistical models applied to test data of varying quality. Accordingly, there are many technical challenges to ascertaining the degree to which the output of these models provides the desired estimates. Despite a substantial amount of research over the last decade and a half, overcoming these challenges has proven to be very difficult, and many questions remain unanswered-at a time when there is strong interest in implementing value-added models in a variety of settings. The National Research Council and the National Academy of Education held a workshop, summarized in this volume, to help identify areas of emerging consensus and areas of disagreement regarding appropriate uses of value-added methods, in an effort to provide research-based guidance to policy makers who are facing decisions about whether to proceed in this direction.

Does value-added modeling (VAM) demonstrate the importance of teachers to student outcomes? The authors clarify the primary questions raised by VAM for measuring teacher effects, review the most important recent applications of VAM, and discuss a variety of statistical and measurement issues that might affect the validity of VAM inferences. The authors identify numerous possible sources of error and bias in teacher effects and recommend a number of steps for future research into these potential errors.

In an extensive review of teacher and school evaluation, one is not likely to find an issue more divisive than the question of how best, in high-stakes contexts, to evaluate how well teachers and schools accomplish their task of educating students. This book explores four contemporary approaches to evaluating the effectiveness of teachers and schools.

With new student assessments and teacher evaluation schemes in the planning or early implementation phases, this book takes a step back to examine the ideological and historical grounding, potential benefits, scholarly evidence, and ethical basis for the new generation of test based accountability measures. After providing the political and cultural contexts for the rise of the testing accountability movement in the 1960s that culminated almost forty years later in No Child Left Behind and Race to the Top, this book then moves on to provide a policy history and social policy analysis of value-added testing in Tennessee that is framed around questions of power relations, winners, and losers. In examining the issues and exercise of power that are sustained in the long-standing policy of standardized testing in schools, this work provides a big picture perspective on assessment practices over time in the U. S.; by examining the rise of value-added assessment in Tennessee, a fine-grained and contemporary case is provided within that larger context. The last half of the book provides a detailed survey of the research based critiques of value-added methodology, while detailing an aggressive marketing campaign to make value-added modeling (VAM) a central component of reform strategies following NCLB. The last chapter and epilogue place the continuation of test-based accountability practices within the context of an emerging pushback against privatization, high stakes testing, and other education reforms. This book will be useful to a wide audience, including teachers, parents, school leaders, policymakers, researchers, and students of educational history, policy, and politics.