Measuring the impact of test disengagement on estimates of educational effectiveness
Learn more about our examination of student disengagement and how it may bias estimates of effectiveness based on observed test results.
View research brief
This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement (presentation begins at 22:55).
Do students rapidly guess repeatedly over time? A longitudinal analysis of student test disengagement, background, and attitudes
This session from the 2020 National Council on Measurement in Education virtual conference presents new research findings on understanding and managing test-taking disengagement. (Presentation begins at 22:55).
Topics: School & test engagement
Comparability of MAP Growth Tests Administered through Different Technology and Psychometric Infrastructure: An Engine Evaluation Study based on Empirical Data
This report presents the results of a mode comparability study conducted based on empirical data to evaluate how scores from MAP Growth administered on the constraint-based engine (CBE) compare to those administered on the current MAP Growth engine known as COLO.
By: Patrick Meyer
This study investigated effort‐moderated (E‐M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring, and its affect on score distortion from disengaged test taking.
The 2020 MAP Growth Norms report presents mathematics, reading, language arts and science achievement and growth patterns for students attending public schools across the U.S. It includes details on the methodological approach, information on MAP Growth assessments, the tested student population and post-stratification weighting, growth modeling, and implications of the study for research and practice, as well as tables showing student and school status and growth norms, status percentiles, growth distributions, and growth percentiles
Do response styles affect estimates of growth on social-emotional constructs? Evidence from four years of longitudinal survey scores
This study explored how response style affects estimates of growth.
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.
By: Steven Wise