This study explored how response style affects estimates of growth.

In this guest blog on the National Center for the Improvement of Educational Assessment’s CenterLine, the authors share their perspective on how states, districts, and schools should consider using assessment to support instruction when school begins again in the fall.

This book presents varied applications of artificial intelligence (AI) in test development, including research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.

This chapter explores both what happens when test takers disengage and how this disengagement should be managed during scoring.

This research uses interim assessment test results to measure the impact of prior year attendance on starting achievement the following year. Results show the impacts are significant and persistent.

Rapid-guessing can distort test scores and adversely affect measurement. New research shows how disengaged responses can also distort content representation.

New research conducted by the nonprofit assessment organization NWEA predicts that teachers are likely to see an even broader array of achievement gaps when schools reopen.