This study investigates the relationship between mastery goal performance and achievement on the State of Texas Assessments of Academic Readiness (STAAR) test. With policies like the Every Student Succeeds Act (ESSA) placing increased importance on standardized-state assessments, schools are making efforts to improve scores, often by focusing…

The purpose of this ex-post facto quantitative study was to compare English Language Arts (ELA) and math Tennessee Compressive Assessment Program (TCAP) scores of students in grades four through eight who attended school virtually or in-person during the 2020-2021 school year. Due to the COVID-19 pandemic, the school district in this study allowed…

Do grade configurations affect student academic performance? To bring new evidence to this question, I use recent district-by-grade data for nearly the entire United States that contain measures of test score achievement and rates of school switching induced by grade configuration. Past research has found that student performance, is, on average,…

It is now well established that the COVID-19 pandemic had a devastating and unequal impact on student achievement. Test score declines were disproportionately large for historically marginalized students, exacerbating preexisting achievement gaps and threatening educational and economic inequality. In this paper, we use longitudinal student-level…

The purpose of this study is to examine how the COVID-19 pandemic has affected the learning of students in public education through the analysis of standardized assessment performance before and during COVID-19. The study also compares virtual learning and face-to-face students' change in performance on the standardized assessments. To answer the…

Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…

Hierarchical linear modeling (HLM) has become an increasingly popular multilevel method of analyzing data among nested datasets, in particular, the effect of specialized academic programming within schools. The purpose of this methodological study is to demonstrate the use of HLM to determine the effectiveness of STEM programming in an Ohio middle…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

In this brief we examine how variability in students' math and reading test scores changed across the pandemic, including whether increased dispersion was concentrated at one part of the test score distribution. Using reading and math assessment data from a sample of 8 million students in grades 3-8 in 24,000 public schools who took MAP Growth…

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, "The Widening Achievement Divide during COVID-19." The authors investigated two main research questions in this brief: (1) To what degree have students' reading and math…

The adoption and implementation of state science standards based on the Next Generation Science Standards (NGSS) have posed significant challenges for the development and interpretation of science Large-Scale Assessments (LSA); specifically, the extent to which the assessment items align with the standards. Previous research has relied on large…

The purpose of this technical appendix is to share detailed results and more fully describe the sample and methods used to produce the research brief, "COVID's Impact on Science Achievement: Trends from 2019 through 2024. We investigated three main research questions in this brief: 1) How did science achievement in 2021 and 2024 compare to…

This research brief examines the continuing impact of the COVID-19 pandemic on student achievement and progress toward academic recovery. Using data from 6.7 million U.S. public school students currently in grades 3-8, the study examined academic gains in the 2022-23 school year relative to pre-pandemic years. It also tracked the gap in…

Four-parameter models have received increasing psychometric attention in recent years, as a reduced upper asymptote for item characteristic curves can be appealing for measurement applications such as adaptive testing and person-fit assessment. However, applications can be challenging due to the large number of parameters in the model. In this…

This brief continues ongoing research by NWEA® examining the degree to which the COVID-19 pandemic, and its associated school closures, influenced student learning. Prior research focused on math and reading and found that the pandemic's negative impact steadily accumulated during the 2020-2021 school year, with significant disparities in…