LEADER 03999nam 2200649Ia 450 001 9910781188203321 005 20230725044844.0 010 $a0-309-15099-X 010 $a1-282-50136-4 010 $a9786612501364 010 $a0-309-14814-6 035 $a(CKB)2550000000010478 035 $a(EBL)3378593 035 $a(SSID)ssj0000418649 035 $a(PQKBManifestationID)11294208 035 $a(PQKBTitleCode)TC0000418649 035 $a(PQKBWorkID)10377015 035 $a(PQKB)10093912 035 $a(MiAaPQ)EBC3378593 035 $a(Au-PeEL)EBL3378593 035 $a(CaPaEBR)ebr10370371 035 $a(CaONFJC)MIL250136 035 $a(OCoLC)923281445 035 $a(EXLCZ)992550000000010478 100 $a20100218d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGetting value out of value-added$b[electronic resource] $ereport of a workshop /$fCommittee on Value-Added Methodology for Instructional Improvement, Program Evaluation, and Educational Accountability ; Henry Braun, Naomi Chudowsky, and Judith Koenig, editors ; Center for Education ; Division of Behavioral and Social Sciences and Education ; National Research Council and National Academy of Education 210 $aWashington $cNational Academies Press$dc2010 215 $a1 online resource (97 p.) 300 $aDescription based upon print version of record. 311 $a0-309-14813-8 320 $aIncludes bibliographical references. 327 $a""Front Matter""; ""Preface""; ""Acknowledgments""; ""Contents""; ""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"" 330 $a"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."--Publisher's description. 606 $aEducational indicators$zUnited States 606 $aTeacher effectiveness$xEvaluation 606 $aTeachers$xRating of$zUnited States 615 0$aEducational indicators 615 0$aTeacher effectiveness$xEvaluation. 615 0$aTeachers$xRating of 676 $a371.1440973 701 $aBraun$b Henry I.$f1949-$0103821 701 $aChudowsky$b Naomi$01477349 701 $aKoenig$b Judith A$01495660 712 02$aNational Academy of Education. 712 02$aNational Research Council (U.S.).$bCenter for Education. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781188203321 996 $aGetting value out of value-added$93742456 997 $aUNINA