Measurement & scaling
Learning during COVID-19: Initial findings on studentsā 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.
By: Megan Kuhfeld, Beth Tarasawa, Angela Johnson, Erik Ruzek, Karyn Lewis
Topics: Equity, COVID-19 & schools, Measurement & scaling
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 studentsā reading and math achievement and growth.
Topics: COVID-19 & schools, Measurement & scaling
Comparability analysis of remote and in-person MAP Growth testing in fall 2020
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.
By: Megan Kuhfeld, Karyn Lewis, Patrick Meyer, Beth Tarasawa
Topics: COVID-19 & schools, Measurement & scaling, School & test engagement
How is COVID-19 affecting student learning? Initial findings from fall 2020
In this Brown Center Chalkboard (Brookings Institution) blog, NWEA researchers share findings from new research that sheds light on the impact that the COVID-19 pandemic has had on student learning.
Topics: COVID-19 & schools, Equity, Measurement & scaling
NISS Ingram Olkin Forum: COVID and the Schools: Modeling Openings, Closings, and Learning Loss
In this National Institute of Statistical Sciences (NISS) Ingram Olkin āStatistics Serving Societyā Forum, experts from around the country share statistical and data-analytic challenges they have faced as they have reported on and researched issues around the impact of COVID-19 in U.S. schools. Read more on the forum and presenters on the NISS webpage.
By: Megan Kuhfeld
Topics: COVID-19 & schools, Measurement & scaling
The learning curve: Revisiting within-year linear growth assumptions
Important educational policy decisions, like whether to shorten or extend the school year, often assume that growth in achievement is linear through the school year.Ā This research examines this untested assumption using data from seven million students in kindergarten through 8th grade across the fall, winter, and spring of the 2016-17 school year.
By: Megan Kuhfeld, James Soland
Topics: Growth modeling, Measurement & scaling, Seasonal learning patterns & summer loss
This report presents the results of a mode comparability study conducted through simulations 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: Ann Hu, Patrick Meyer, May Chien
Products: MAP Growth
Topics: Measurement & scaling, Test design