Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

The development of academic English proficiency and the time it takes to reclassify to fluent English proficient status are key issues in English learner (EL) policy. This article develops a shared random effects model (SREM) to estimate English proficiency development and time to reclassification simultaneously, treating student-specific random…

As the COVID-19 pandemic upended the 2019-2020 school year, education systems scrambled to meet the needs of students and families with little available data on how school closures may impact learning. In this study, we produced a series of projections of COVID-19-related learning loss based on (a) estimates from absenteeism literature and (b)…

While most educators assume that not all students try their best on achievement tests, no current research examines if behaviors associated with low test effort, like rapidly guessing on test items, affect teacher value-added estimates. In this article, we examined the prevalence of rapid guessing to determine if this behavior varied by grade,…