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…

Value-added assessment methods have been criticized by researchers and policy makers for a number of reasons. One issue includes the sensitivity of model results across different outcome measures. This study examined the utility of incorporating multivariate latent variable approaches within a traditional value-added framework. We evaluated the…

The Every Student Succeeds Act (ESSA) proposes changes in how states include the nation's growing population of English Learners (ELs) into the accountability system. The purpose of this paper is to identify key issues and questions that might be considered and explored by state decision makers in this area. Our primary audience is anyone in a…

A key question facing teacher evaluation systems is how to combine multiple measures of complex constructs into composite indicators of performance. We use data from the Measures of Effective Teaching (MET) study to investigate the measurement properties of composite indicators obtained under various conjunctive, disjunctive (or complementary),…

This qualitative case study focused on 13 elementary teachers' perceptions of their evaluations. Using multiple schools (5) and teachers (13) we explored the impact of evaluations on instruction. Informed by Pekrun's control-value theory, our analysis focused on teachers' motivations and emotions. Teachers did not value or feel in control of their…

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,…

The paper draws on a series of Australian Research Council (ARC) projects aimed at understanding better the process of doctoral examination. The early phase focussed on the Australian doctorate, which functions without a Viva, while the later phase was concerned with comparing the earlier findings with analysis of the United Kingdom (UK) and New…

Value-added modeling (VAM), one class of statistical models used to estimate individual teacher's or school's contribution to student achievement based on student test score growth between consecutive years, has become increasingly popular in the last decades. Despite the increasing popularity of VAM, many researchers are concerned about the…

Policymakers appear increasingly inclined to utilize measures of student achievement, often state assessment results, to inform high-stakes teacher personnel decisions. This has been spurred on by the federal government's Teacher Incentive Fund (TIF) and Race to the Top (RttT) grant programs, each of which urge states and localities to tie teacher…

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)…