NISS Ingram Olkin Forum: COVID and the Schools: Modeling Openings, Closings, and Learning Loss
By: Megan Kuhfeld
In this National Institute of Statistical Sciences (NISS) Ingram Olkin “Statistics Serving Society” 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.See More
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This study compares estimation of symptom networks with Bayesian GLASSO- and Horseshoe priors to estimation using the frequentist GLASSO using extensive simulations.
By: Joran Jongerling, Sacha Epskamp, Donald Williams
Topics: Measurement & scaling
Changes in school composition during the COVID-19 pandemic: Implications for school-average interim test score use
School officials regularly use school-aggregate test scores to monitor school performance and make policy decisions. In this report, RAND researchers investigate one specific issue that may contaminate utilization of COVID-19–era school-aggregate scores and result in faulty comparisons with historical and other proximal aggregate scores: changes in school composition over time. To investigate this issue, they examine data from NWEA’s MAP Growth assessments, interim assessments used by states and districts during the 2020–2021 school year.
The COVID-19 pandemic, coupled with political and social unrest, has deeply disrupted the lives and learning experiences of most students. It has created an urgent need to address long-standing opportunity gaps and has highlighted the importance of providing resources that support student achievement, social-emotional learning, and physical and mental well-being. This urgency for action to address the impacts is valid, but it has also created a noisy environment of potential options of what might be best for students. It’s critical, now more than ever, for decisions to be grounded in solid research.
By: Beth Tarasawa
Learning during COVID-19: An update on student achievement and growth at the start of the 2021-22 school year
To what extent has the COVID-19 pandemic affected student achievement and growth in reading and math, and which students have been most affected? Using data from 6 million students in grades 3-8 who took MAP Growth assessments in reading and math, this brief examines how gains across the pandemic (fall 2019 to fall 2021) and student achievement in fall 2021 compare to pre-pandemic trends. This research provides insight to leaders working to support recovery.
Technical appendix for: Learning during COVID-19: An update on student achievement and growth at the start of the 2021-22 school year
The purpose of this technical appendix is to share more detailed results and to describe more fully the sample and methods used in the research included in the brief, Learning during COVID-19: An update on student achievement and growth at the start of the 2021-22 school year. We investigated two research questions:
- How does student achievement in fall 2021 compare to pre-pandemic levels (namely fall 2019)?
- How did academic gains between fall 2019 and fall 2021 compare to normative growth expectations?
Using simulations, this study examined the “trifactor model,” a recent model developed to address rater disagreement.
Topics: Measurement & scaling