National and International standardized assessments have shown sharp differences between native and foreign students' performance in both text comprehension and mathematics. Based on the data gathered yearly by the INVALSI (Italian National Institute for the Evaluation of Educational Systems) at the national level, we performed a two-step…

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 non-experimental, quantitative study was to investigate the relationship between Acadience reading curriculum-based measures (CBMs) and the Pennsylvania System of School Assessment (PSSA) mathematics assessment for students in grades three, four, five, and six. Furthermore, multiple linear regression equations were created from…

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,…

Background: Math anxiety (MA) and math achievement are generally negatively associated. Aims: This study investigated whether and how classroom engagement behaviors mediate the negative association between MA and math achievement. Sample: Data were drawn from an ongoing longitudinal study that examines the roles of affective factors in math…

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…

This study investigated the application of item response theory (IRT) to expand the range of ability estimates for gifted (hereinafter referred to as high-achieving) students' performance on an above-level test. Using a sample of fourth- to sixth-grade high-achieving students (N = 1,893), we conducted a study to compare estimates from two…

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…