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…

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…

Estimates of teacher "value-added" suggest teachers vary substantially in their ability to promote student learning. Prompted by this finding, many states and school districts have adopted value-added measures as indicators of teacher job performance. In this paper, we conduct a new test of the validity of value-added models. Using…

Valid and reliable measurements of teaching quality facilitate school-level decision-making and policies pertaining to teachers, but conventional classroom observations are costly, prone to rater bias, and hard to implement at scale. Using nearly 1,000 word-to-word transcriptions of 4th- and 5th-grade English language arts classes, we apply novel…

Student assessment nonparticipation (or opt out) has increased substantially in K-12 schools in states across the country. This increase in opt out has the potential to impact achievement and growth (or value-added) measures used for educator and institutional accountability. In this simulation study, we investigated the extent to which…

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…

Using two states' grades 3 through 8 state assessment databases, this study documents the extent to which students were assigned testing accommodations for ELA or mathematics in only one of two consecutive years. The percentage of students with disabilities who were assigned accommodations in the current year only or in the prior year only in a…

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…

There is growing interest among researchers, policy makers, and practitioners in identifying teachers who are skilled at improving student outcomes beyond test scores. However, questions remain about the validity of these teacher effect estimates. Leveraging the random assignment of teachers to classes, I find that teachers have causal effects on…

Policy changes from the past decade have resulted in a growing interest in identifying effective teachers and their characteristics. This study is the third study to use data from a randomized experiment to test the validity of measures of teacher effectiveness. The authors collected effectiveness measures across three school years from three…