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…

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…

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…

We examine the relationship between absenteeism and achievement since the onset of COVID-19. Applying first-differences models to North Carolina administrative data, we estimate that each absence was associated with a 0.0032 standard deviation (SD) decline in math achievement in 2022-23. As students averaged 3.3 more absences in 2022-23 than…

We examine access to effective teachers for low-income students in 26 geographically dispersed school districts over a 5-year period. We measure teacher effectiveness using a value-added model that accounts for measurement error in prior test scores and peer effects. Differences between the average value added of teachers of high- and low-income…

We apply "value-added" models to estimate the effects of teachers on an outcome they cannot plausibly affect: student height. When fitting the relatively simple models that are widely used in educational practice to New York City data, we find the standard deviation of teacher effects on height is nearly as large as that for math and…