Although existing research suggests that students benefit on a range of outcomes when they enroll in early algebra classes, policy efforts that accelerate algebra enrollment for large numbers of students often have negative effects. Explanations for this apparent contradiction often emphasize the potential role of teacher and peer effects, which…

Inappropriate treatment of missing data may introduce bias into the value-added estimation. We consider a commonly used value-added model (VAM), which includes the past student test score as a covariate. We formulate a joint model of student achievement and missing data, in which the probability of observing a test score depends on observing the…

Value-added metrics or models (VAMs) are an important component of the teacher evaluation process that evaluators use to determine the value teachers add to their students' academic achievement. VAMs are used to arrive at a score that is derived from the number of the teachers' students who pass and/or fail a standardized assessment. While prior…

We present new estimates of the importance of teachers in early grades for later grade outcomes, but unlike the existing literature that examines teacher "fade-out," we directly compare the contribution of early-grade teachers to later year outcomes against the contributions of later year teachers to the same later year outcomes. Where…

The purpose of this study is to investigate teacher perceptions of Value-Added Models specifically as they relate to students with disabilities. Value-Added Models are designed to reward teachers for student growth while taking into account factors such as socioeconomic status and disabilities (Weigert, 2012). The study also examines the alignment…

In 2012, New Jersey implemented a broad change to the teacher evaluation system with the Teacher Effectiveness and Accountability for the Children of New Jersey (TEACHNJ) Act which identified the Marzano Causal Teacher evaluation system as one of the prescribe models for districts to adopt. This system provides a more differentiated teacher…

When the COVID-19 pandemic hit the U.S. last spring, schools nationwide shut their doors and states cancelled annual standardized tests. Now federal and state policymakers are debating whether to cancel testing again in 2021. One factor they should consider is whether a two-year gap in testing will make it impossible to measure student-level…

We evaluate the feasibility of estimating test-score growth with a gap year in testing data, informing the scenario when state testing resumes after the 2020 COVID-19-induced test stoppage. Our research design is to simulate a gap year in testing using pre-COVID-19 data--when a true test gap did not occur--which facilitates comparisons of…

Helping students engage with complex texts has been a longstanding challenge, though teachers have received little guidance about practices that help students in engaging with texts. This paper provides a range of empirical evidence about a tool designed to provide formative insight into text-focused teaching, which we used to reliably score more…

Valid and reliable measurements of teaching quality facilitate school-level decision-making and policies pertaining to teachers. Using nearly 1,000 word-to-word transcriptions of fourth- and fifth-grade English language arts classes, we apply novel text-as-data methods to develop automated measures of teaching to complement classroom observations…

As students' reading proficiency gaps persist across the United States, educational leaders have turned to alternative methods to foster effective instructional literacy practices. One approach to combat this dilemma is the implementation of scripted reading programs. The purpose of the study was to investigate the impact of scripted reading…

This study introduces the signal weighted teacher value-added model (SW VAM), a value-added model that weights student-level observations based on each student's capacity to signal their assigned teacher's quality. Specifically, the model leverages the repeated appearance of a given student to estimate student reliability and sensitivity…

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…

Anecdotal evidence points to the importance of school principals, but the limited existing research has neither provided consistent results nor indicated any set of essential characteristics of effective principals. This paper exploits extensive student-level panel data across six states to investigate both variations in principal performance and…

This study was designed to assess the impact of providing teachers and principals with performance feedback on instructional practice, principal leadership, and student achievement. The teacher and principal performance feedback that was the focus of the study's intervention incorporated promising features of educator performance measures…