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Atteberry, Allison; Mangan, Daniel – Educational Researcher, 2020
Papay (2011) noticed that teacher value-added measures (VAMs) from a statistical model using the most common pre/post testing timeframe--current-year spring relative to previous spring (SS)--are essentially unrelated to those same teachers' VAMs when instead using next-fall relative to current-fall (FF). This is concerning since this choice--made…
Descriptors: Correlation, Value Added Models, Pretests Posttests, Decision Making
Babineau, Kate; Karapetyan, Arpi; Rossmeier, Vincent – Cowen Institute, 2020
For the past 12 years, the Cowen Institute has published the "State of Public Education in New Orleans" ("SPENO") on a near annual basis. During that time, the purpose, content, and audience of the report have evolved. This edition of the report is a snapshot of public education in the current academic year using aggregated…
Descriptors: Public Education, Academic Achievement, Boards of Education, Governance
Bruno, Paul; Strunk, Katharine O. – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
Despite evidence that many schools and districts have considerable discretion when hiring teachers and the existence of an extensive literature on teacher quality, little is known about how best to hire teachers. This is, in part, because predicting teacher quality using readily-observable teacher characteristics has proven difficult and there is…
Descriptors: Teacher Selection, Employment Qualifications, Urban Schools, Screening Tests
Amrein-Beardsley, Audrey; Geiger, Tray – Phi Delta Kappan, 2017
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,…
Descriptors: Value Added Models, School Districts, Computer Software, Educational Technology
Isenberg, Eric; Max, Jeffrey; Gleason, Philip; Potamites, Liz; Santillano, Robert; Hock, Heinrich; Hansen, Michael – Society for Research on Educational Effectiveness, 2014
Recent federal policy initiatives are aimed at improving disadvantaged students' access to effective teaching. These efforts, including Race to the Top and the Teacher Incentive Fund, arise from concerns that disadvantaged students are taught by less effective teachers. A growing body of research uses value-added analysis to measure teacher…
Descriptors: Teacher Effectiveness, Disadvantaged Youth, Access to Education, School Districts
Comparisons of Student Growth by District Performance and Poverty. ACT Research Report Series 2017-8
Dougherty, Chrys; Shaw, Teresa – ACT, Inc., 2017
This report looks at student growth in Arkansas school districts disaggregated by district poverty and by the district's value-added performance relative to other districts. We estimated district value-added performance statistics by subject and grade level (8 and 11-12) for longitudinal student cohorts, using statistical models that adjusted for…
Descriptors: Poverty, Value Added Models, School Districts, Instructional Program Divisions
Goldhaber, Dan; Quince, Vanessa; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2016
There is mounting evidence of substantial "teacher quality gaps" (TQGs) between advantaged and disadvantaged students, but practically no empirical evidence about their history. We use longitudinal data on public school students, teachers, and schools from two states--North Carolina and Washington--to provide a descriptive history of the…
Descriptors: Teacher Competencies, Longitudinal Studies, Public Schools, Educational History
Imberman, Scott; Lovenheim, Michael F. – Education Policy Center at Michigan State University, 2015
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…
Descriptors: Value Added Models, Housing, Teacher Influence, Evaluation Methods
Shneyderman, Aleksandr; Froman, Terry – Research Services, Miami-Dade County Public Schools, 2015
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.…
Descriptors: Educational Legislation, Federal Legislation, Standardized Tests, Academic Achievement
Walsh, Elias; Lipscomb, Stephen – Mathematica Policy Research, Inc., 2013
This report presents findings from Phase 2 of a three-year teacher evaluation pilot conducted by the Pennsylvania Department of Education. Principals evaluated the teaching practices of teachers using The Framework for Teaching, a rubric that includes 22 components grouped into four broad teaching practice domains: (1) planning and preparation,…
Descriptors: Teacher Evaluation, Scores, Scoring Rubrics, Value Added Models
Strand, Steve – Review of Education, 2016
Relatively little research has explored whether schools differ in their effectiveness for different group of pupils (e.g. by ethnicity, poverty or gender), for different curriculum subjects (e.g. English, mathematics or science) or over time (different cohorts). This paper uses multilevel modelling to analyse the national test results at age 7 and…
Descriptors: School Effectiveness, Hierarchical Linear Modeling, Children, Elementary School Students
Haynie, Glenda – Wake County Public School System, 2006
This research study developed a value-added instructional improvement analysis model. North Carolina state testing results were used in regression and residual analyses of student achievement. This analysis allowed for identification of the "most effective" and "least effective" biology teachers in Wake County Public Schools…
Descriptors: Counties, Public Schools, School Districts, Biology