Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…

Measuring teacher effectiveness has been debated and studied for numerous years. While some progress has been made, consensus has yet to be reached regarding what it means to be an effective teacher and how to measure effectiveness. This study uses administrative data from North Carolina to assess the relationship between school principal…

In this study, we estimated the relationship between two popular measures of teacher effectiveness--teachers' value-added model (VAM) estimates, represented in this study via median growth percentiles (MGPs), and teachers' observational scores, derived from the TAP System for Teacher and Student Advancement. We examined the relationship between…

This paper develops and estimates an empirical framework that evaluates the impact of charter school choice on education quality in the aggregate. We estimate the model using student-level data from North Carolina. We find that North Carolina's lifting of its statewide charter school cap raised the average public school's value-added by around…

This paper aims to identify and compare key factors influencing US States' or an OECD country's decision to employ student test scores or test score value-added (VAM) in evaluating teacher effectiveness. Analysis using multiple linear probability model and logistic regression frameworks indicates that the use of VAM/student test scores was…

In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the…

Advocates for the use of a multi-measure system of performance evaluation argue that multiple measures may better capture meaningful differences in employee effectiveness and help align effort with organizational objectives. This may be particularly important in organizations such as schools that produce multiple outcomes. In this paper I use a…

In the present study, we examine whether characteristics of student teaching sites and cooperating teachers predict teacher candidates' edTPA scores. Using data from North Carolina, we find that candidates earn higher edTPA scores if they student-taught in a high value-added school and with a cooperating teacher earning higher evaluation ratings.…

School accountability systems increasingly hold schools to account for their performances using value-added models purporting to measure the effects of schools on student learning. The most common approach is to fit a linear regression of student current achievement on student prior achievement, where the school effects are the school means of the…

The effect of remote learning on student performance has been a frequent topic of research and discussion in the aftermath of the COVID-19 pandemic, yet little is known about the impact of remote instruction on the performance of teachers. This study documents how relative effectiveness of teachers changed when moving from in-person to remote…

There is no final consensus regarding which covariates should be used (in addition to prior achievement) when estimating value-added (VA) scores to evaluate a school's effectiveness. Therefore, we examined the sensitivity of evaluations of schools' effectiveness in math and language achievement to covariate selection in the applied VA model. Four…

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 use of student learning objectives (SLOs) as part of teacher performance systems has gained traction quickly in the United States, yet little is known about how teachers select specific students' learning goals. When teachers are evaluated--and sometimes compensated--based on whether their students meet the very objectives the teachers set at…

Using rich panel data from Pakistan, we compute test score based measures of quality (School Value-Addeds or SVAs) for more than 800 schools across 112 villages and verify that they are valid and unbiased. With the SVA measures, we then document three striking features of the schooling environment. First, there is substantial within-village…

The transition to new assessments aligned to the Common Core State Standards was a significant turning point in the standards' implementation. Concerns about the transition led districts to suspend the use of value-added scores for evaluating teachers, but changes to other measures, such as classroom observations, were rare. Using data from the…