This technical brief provides additional detail on the samples, methodology, and results from analyses highlighted in the brief, Learning during COVID-19: Initial findings on students’ reading and math achievement and growth.

How have COVID-19 school closures impacted student academic growth and achievement? New research using fall 2020 MAP Growth assessment data for 4.4 million students provides new insights, key findings, and actionable recommendations.

How have COVID-19 school closures impacted student academic growth and achievement? New research using fall 2020 MAP Growth assessment data for 4.4 million students provides new insights, key findings, and actionable recommendations.

A new software package, GGMncv, provides alternatives to graphical lasso (ℓ1-regularization) for study of complex relations in multivariate datasets.

A huge portion of what we know about how humans develop, learn, behave, and interact is based on survey data. Although there is great deal of guidance on scaling and linking IRT-based large-scale educational assessment to facilitate the estimation of examinee growth, little of this expertise is brought to bear in the scaling of psychological and social-emotional constructs. Through a series of simulation and empirical studies, we produce scores in a single-cohort repeated measure design using sum scores as well as multiple IRT approaches and compare the recovery of growth estimates from longitudinal growth models using each set of scores.

This Bellwether Education Partners webinar examines how education research can continue to offer meaningful, relevant information to policymakers and practitioners after the “lost year” of data from COVID disruptions to schools and testing.

This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement.