This study examines the role of educational tracking in shaping school segregation among first and second-generation migrants, a pressing issue for societal integration. Drawing on the pooled data from international student assessments (PISA, PIRLS, & TIMSS) from 1995 to 2019, we examine a total of 75 countries and assess the extent to which…

In recent decades, large-scale assessments in Ireland have revealed consistent trends, phases of change, and some surprises. This brief explores how data from large-scale assessments informed Ireland's "National Literacy and Numeracy Strategy 2011-2020," particularly regarding priorities, target-setting, and monitoring. It also examines…

Globally, the private school share of enrollment increased from about 14 percent in 2000 to about 18 percent in 2019. We estimate the systemic effect of private enrollment share on learning outcomes. Estimates of the systemic effect of private school enrollment capture any competitive effects as well as any differences between public and private…

Part of the mission of IEA (the International Association for the Evaluation of Educational Achievement) is to support education systems worldwide with data-driven insights for evidence-based policies and improved student learning outcomes. Together with the TIMSS & PIRLS International Study Center at Boston College, LaNA (Literacy and…

This study comprises two meta-analyses conducted to investigate relations between socioeconomic status (SES) and academic achievement, with a focus on macro-level, micro-level, and methodological moderating variables in primary and secondary education. The first meta-analysis is based on 326 empirical studies with 949,699 students from 47…

This open access book uses multiple IEA Assessments to examine the relationship between socioeconomic segregation between classrooms and student outcomes. By examining Socioeconomic status (SES) segregation between classrooms as well as between schools, it produces a more accurate estimate of student sorting. Further, this study examines the…

This paper extends existing work on teacher weighting in student-centered surveys by looking into aspects of practical implementation of deriving and using weights for teacher-centered analysis in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The formal…

In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…

International Large-Scale Assessments (ILSAs) have had significant impact on education policy across the globe. But has interest in ILSAs now started to wane? This paper presents new evidence on this issue, exploring how the amount of attention three major ILSAs receive compares across countries, between studies and over time. Using information on…

This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…

There is a common belief that the more the time students spend in the classroom the more they learn; a conception which has been supported by considerable empirical research. However, most of these studies are correlational, which does not provide solid support for their conclusions. In this research work we intend to go a step further in the…

Gender differences in math-related professional achievements have been identified as a worldwide problem. Academic achievement assessments, however, have repeatedly revealed gender similarities. The observed gender similarity might be due to biased assessments that heavily rely on reading skills, which favors girls. The current study analyzed 29…

Questionnaire scales that are mixed-worded, i.e. include both positively and negatively worded items, often suffer from issues like low reliability and more complex latent structures than intended. Part of the problem might be that some responders fail to respond consistently to the mixed-worded items. We investigated the prevalence and impact of…

The introductory article of the GSE special issue 'PISA for scandalization, PISA for projection: the use of international large-scale assessments in education policy making' contextualises the four articles of the special issue in the broader context of comparative policy studies in education. It reflects in particular on the question of why…

The participation of countries in various international large-scale assessments (ILSA) is motivated by different factors. In recent years however, there has been a growing popularity and importance placed on the results of ILSA. Recognising the significance of ILSA as a valuable source of feedback for enhancing the basic education system, the…