Getting Value Out of Value-Added - Report of a Workshop (Paperback)

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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. Table of Contents Front Matter 1 Introduction to Value-Added Modeling 2 Uses and Consequences of Value-Added Models 3 Measurement Issues 4 Analytic Issues 5 Considerations for Policy Makers References Appendix A: Workshop Agenda and Participants Appendix B: Biographical Sketches of Committee Members and Staff

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Product Description

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. Table of Contents Front Matter 1 Introduction to Value-Added Modeling 2 Uses and Consequences of Value-Added Models 3 Measurement Issues 4 Analytic Issues 5 Considerations for Policy Makers References Appendix A: Workshop Agenda and Participants Appendix B: Biographical Sketches of Committee Members and Staff

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Product Details

General

Imprint

National Academies Press

Country of origin

United States

Release date

February 2010

Availability

Expected to ship within 12 - 17 working days

First published

2010

Authors

, , , ,

Editors

, ,

Dimensions

229 x 152 x 6mm (L x W x T)

Format

Paperback

Pages

96

ISBN-13

978-0-309-14813-9

Barcode

9780309148139

Categories

LSN

0-309-14813-8



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