An IERI – International Educational Research Institute Journal
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Previous research based on large-scale studies consistently suggests that on average, male students tend to have lower literacy compared to their female students during secondary schooling. However, this gende...
Internet-related issues have influenced how civic knowledge is educated and measured. The International Civic and Citizenship Education Study (ICCS) is a well-known large-scale assessment concerning how civic ...
A school’s emphasis on academic success (SEAS) is a crucial aspect of school climate that can be rated by different informants, such as teachers or principals, and with respect to their perception of different...
Common indicator-based approaches to identifying careless and insufficient effort responding (C/IER) in survey data scan response vectors or timing data for aberrances, such as patterns signaling straight lini...
Tolerance is a prerequisite for deliberative democracies. Therefore, fostering tolerance is an important task for educational systems in democracies. In the present study, the concepts of social and political ...
This empirical study aims to investigate the association between mathematics self-efficacy and mathematics achievement gaps among students in Grades 4, 8, and 12, utilizing data from the 2019 National Assessme...
Stratification is an important design feature of many studies using complex sampling designs and it is often used in large-scale assessment (LSA) studies, such as the Programme for International Student Assessmen...
Self-efficacy or perceived ability refers to the confidence an individual has in their ability to successfully perform a specific task. Previous researchers have demonstrated the importance of self-efficacy be...
As the use of process data in large-scale educational assessments is becoming more common, it is clear that data on examinees’ test-taking behaviors can illuminate their performance, and can have crucial ramif...
Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actua...
Learning strategies have been recognized as important predictors of mathematical achievement. In recent studies, it has been found that Asian students use combined learning strategies, primarily including meta...
Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education. Despite these advancements, AI-powered automated scori...
This paper scrutinizes the increasing trend of using international large-scale assessment (ILSA) data for causal inferences in educational research, arguing that such inferences are often tenuous. We explore t...
In this journal, Sciffer et al. (Large-scale Assessments in Education 10:1–22, 2022), hereafter SP&M, conclude that school socioeconomic compositional (SEC) or school socioeconomic status (school-SES) effects ...
The use of large-scale assessments (LSAs) in education has grown in the past decade though analysis of LSAs using multilevel models (MLMs) using R has been limited. A reason for its limited use may be due to t...
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-...
The Covid-19 pandemic has triggered a rapid and unprecedented transformation of global educational systems. The research community has uncovered important impacts of the pandemic on education worldwide, includ...
Meta-analyses and international large-scale assessments (ILSA) are key sources for informing educational policy, research, and practice. While many critical research questions could be addressed by drawing evi...
Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be co...
This paper aims to showcase the value of implementing a Bayesian framework to analyze and report results from international large-scale assessments and provide guidance to users who want to analyse ILSA data u...
In this study we use data from the Programme for International Student Assessment (PISA) to investigate the effect of teachers’ motivation on students’ scientific literacy and motivation in Colombia. These rel...
Socioeconomic characteristics are persistently and systematically related to academic outcomes, despite long-standing efforts to reduce educational inequality. Ireland has a strong policy focus on alleviating ...
The global outbreak of the novel COVID-19 virus presented a significant threat to students’ well-being across the globe. In this paper, we construct a measure of student psychological distress related to COVID...
A general validity and survey quality concern with student questionnaires under low-stakes assessment conditions is that some responders will not genuinely engage with the questionnaire, often with more random...
Emirati children’s reading skills have consistently lagged behind global standards on international standardized tests. Given the United Arab Emirates’s Vision 2031, which aims for a world-class education syst...
Process data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students’ tes...
Students with disabilities generally experience educational inequities around the world. The coronavirus 2019 (COVID-19) pandemic likely exacerbated these inequities in access, resources, and support as school...
This study examines the association between class size, teacher characteristics and five non-cognitive student outcomes (i.e., self-control, interpersonal skills, approaches to learning, externalizing and inte...
Unfavorable test-taking behaviors, such as speededness and disengagement, have long been a validity concern for large-scale low-stakes assessments. Understanding the presence and extent of such behaviors is im...
Research has shown that students from socially disadvantaged backgrounds are more likely to have lower academic performance compared to children from better-off families. However, the way that socioeconomic st...
Understanding the long-standing educational inequities associated with socioeconomic status remains significant for transforming educational policies and practices. To better understand entanglements among soc...
Written instructions seldom need to be read when playing videogames. Instead, gaming often involves early information foraging and expansive exploration behaviors. We use data from the Programme for Internatio...
Digital Information Literacy (DIL) refers to the ability to obtain, understand, evaluate, and use information in digital contexts. To accurately capture various dimensions of DIL, assessment designers have inc...
In low-stakes assessment settings, students’ performance is not only influenced by students’ ability level but also their test-taking engagement. In computerized adaptive tests (CATs), disengaged responses (e....
One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly a...
A solid foundation in science is critical to students’ success in the 21st century workforce, especially in fields related to science, technology, engineering, and mathematics (STEM). Therefore, high-quality s...
The Programme for International Student Assessment (PISA) has become the world’s largest comparative assessment of academic achievement. While hundreds of studies have examined the factors predicting student a...
The COVID-19 pandemic brought immense challenges to global society. The entire social and work life had to be reorganized to accommodate for the restrictions imposed to limit the spread of COVID-19. These rest...
The advance and access to technology have allowed for the implementation of adaptive testing in international large-scale assessments (ILSAs). Multistage testing (MST) in ILSAs offers opportunities and advanta...
One of the primary goals of educational research is to identify effective and equitable school practices that aim to promote desired educational outcomes for all students, regardless of their background. This ...
Much debate exists concerning the factorial dimensionality of student well-being. We contribute to this debate by drawing on PISA 2018 data from a total of 61,722 students, 2528 schools, and nine countries. Fo...
The existence of a multiplier, compositional or social context effect is debated extensively in the literature on school effectiveness and also relates to the wider issue of equity in educational outcomes. How...
This study explored the influence of early literacy and numeracy skills on fourth-grade math achievement using the Trends in International Mathematics and Science Study (TIMSS). The study utilized valuable inf...
The influence of achievement motives and relational goal structures embedded in schools on learning outcomes as well as their interaction has attracted much attention in educational research. In the secondary ...
A priori assumptions about specific behavior in test items can be used to process log data in a rule-based fashion to identify the behavior of interest. In this study, we demonstrate such a top-down approach a...
The original article was published in Large-scale Assessments in Education 2023 11:13
In low-income countries, there exists a common concern about the effect of hunger and food insecurity on educational outcomes. However, income inequalities, economic slowdown, conflict, and climate change have...
The Correction to this article has been published in Large-scale Assessments in Education 2023 11:15
This article aims at a better understanding of the Brazilian education system’s performance concerning the quality and equity over the decade 2007–2017. It examines the extent to which students’ sociodemograph...
Grounded in ecological theory, this study investigated relative contributions of perceived classroom and school climate variables to mathematics self-concept and achievement of English-at-home and English lear...
Citation Impact 2023
Journal Impact Factor: 2.6
5-year Journal Impact Factor: 4.2
Source Normalized Impact per Paper (SNIP): 1.943
SCImago Journal Rank (SJR): 1.256
Speed 2023
Submission to first editorial decision (median days): 28
Submission to acceptance (median days): 324
Usage 2023
Downloads: 418,474
Altmetric mentions: 133
Large-scale Assessments in Education is fully sponsored by IERI – International Educational Research Institute, and the International Association for the Evaluation of Educational Achievement (IEA) that focuses on improving the science of large-scale assessments. Authors do not need to pay an article-processing charge.