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Paul T. von Hippel; Laura Bellows – Annenberg Institute for School Reform at Brown University, 2020
At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs…
Descriptors: Teacher Effectiveness, Teacher Education Programs, Scores, Accountability
Jinyong Hahn; John D. Singleton; Nese Yildiz – Annenberg Institute for School Reform at Brown University, 2023
Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…
Descriptors: Teacher Effectiveness, Models, Computation, Statistical Analysis
Scheerens, Jaap – Educational Research and Evaluation, 2017
In this article, several ways to adjust gross school effects are discussed to set the stage for estimating treatment effects in schooling. Although it is quite hazardous to hypothesize realistic benchmarks for results from meta-analyses, because of the dependency of effect sizes on subject matter area, grade level, and study characteristics, a…
Descriptors: School Effectiveness, Statistical Analysis, Computation, Effective Schools Research
Leckie, George – Journal of Educational and Behavioral Statistics, 2018
The traditional approach to estimating the consistency of school effects across subject areas and the stability of school effects across time is to fit separate value-added multilevel models to each subject or cohort and to correlate the resulting empirical Bayes predictions. We show that this gives biased correlations and these biases cannot be…
Descriptors: Value Added Models, Reliability, Statistical Bias, Computation
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
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
Isenberg, Eric; Hock, Heinrich – Mathematica Policy Research, Inc., 2012
In this report, the authors describe the value-added models used as part of teacher evaluation systems in the District of Columbia Public Schools (DCPS) and in eligible DC charter schools participating in Race to the Top. They estimated (1) teacher effectiveness in DCPS and eligible DC charter schools during the 2011-2012 school year; and (2)…
Descriptors: Value Added Models, Teacher Evaluation, Public Schools, Urban Schools

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