School value-added models are widely applied to study, monitor, and hold schools to account for school differences in student learning. The traditional model is a mixed-effects linear regression of student current achievement on student prior achievement, background characteristics, and a school random intercept effect. The latter is referred to…

The success of many students with disabilities (SWDs) depends on access to high-quality general education teachers. Yet, most measures of teacher value-added measures (VAM) fail to distinguish between a teacher's effectiveness in educating students with and without disabilities. We create two VAM measures: one focusing on teachers' effectiveness…

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…

This study compares the estimated grammar school effect in different regression models, and explains why previous evidence of the effectiveness of grammar school is mixed. Like most studies of school effectiveness evaluation, previous research on grammar school effect usually applies regression to control for confounding between-school factors and…

There is an enduring issue on whether student- and school-level covariates should be included in value-added school effects models, in addition to prior achievement. Proponents argue that the addition of covariates allows fairer comparisons of schools, whereas opponents argue that it excuses poorly performing schools and obscures policy-relevant…

We study the relative performance of two policy-relevant value-added models--a one-step fixed effect model and a two-step aggregated residuals model--using a simulated data set well grounded in the value-added literature. A key feature of our data generating process is that student achievement depends on a continuous measure of economic…

We examine the relationship between district level student achievement and teacher average salary in Ohio from academic year 2013-14 to academic year 2018-19. Utilizing panel data, the following district level characteristics were controlled for: average teacher experience, average teacher degree-level, student socioeconomic status, race, student…

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…

The purpose of this study was to understand how a school-based personalized learning approach can help improve literacy achievement among middle grades students in a rural area. This study followed two cohorts of schools serving students in grades 6-8 in northeast Tennessee for one year each (2018-19 and 2021-22), to assess student and school…

In the UK, USA and elsewhere, school accountability systems increasingly compare schools using value-added measures of school performance derived from pupil scores in high-stakes standardised tests. Rather than naïvely comparing school average scores, which largely reflect school intake differences in prior attainment, these measures attempt to…

It is widely believed that the teacher is one of the most important factors influencing a student's success at school. In many countries, teachers' salaries and promotion prospects are determined by their students' performance. Value-added models (VAMs) are increasingly used to measure teacher effectiveness to reward or penalize teachers. The aim…

Increasingly, states and teacher education programs are establishing minimum requirements for cooperating teachers' (CTs') years of experience or tenure. Undergirding these policies is an assumption that to effectively mentor preservice teachers (PSs), CTs must themselves be instructionally effective. We test this assumption using statewide…

Increasingly, states and teacher education programs are establishing minimum requirements for cooperating teachers' (CTs') years of experience or tenure. Undergirding these policies is an assumption that to effectively mentor preservice teachers (PSTs), CTs must themselves be instructionally effective. We test this assumption using statewide…

The majority of states include value-added models (VAMs) or some other measure of student academic growth as a component of their teacher evaluation systems. However, there is considerable disagreement among researchers about whether states and school districts should use student growth measures to make high-stakes personnel decisions. Many…