Using an unanticipated policy reform in Mexico that shifted 4 months the cutoff date for elementary school eligibility in 2006 and information on academic performance of 15-year-old students from the Programme for International Student Assessment (PISA) 2018 survey, who entered first grade in 2006, this paper estimates the effects of starting…

Students in Confucian culture are typically high-achieving on international assessments such as PISA and TIMSS. To explore factors that may explain the high performance of Confucian students, the present study compared the latent subpopulations of school resources and disciplinary climate in two Confucian countries and two Anglo countries. Using…

When scaling psychological tests with methods of item response theory it is necessary to investigate to what extent the responses correspond to the model predictions. In addition to the statistical evaluation of item misfit, the question arises as to its practical significance. Although item removal is undesirable for several reasons, its…

Recent decades have witnessed a global expansion of private supplementary tutoring, known as shadow education--additional support in academic subjects that takes place outside of regular school hours. Using the data of 55 countries from the Programme for International Student Assessment (PISA) 2022, this study examines the association between…

As a relevant cognitive-motivational aspect of ICT literacy, a new construct "ICT Engagement" is theoretically based on self-determination theory and involves the factors ICT interest, Perceived ICT competence, Perceived autonomy related to ICT use, and ICT as a topic in social interaction. In this manuscript, we present different…

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 International Student Assessment (PISA) to explore whether students who regularly play videogames (daily gamers) adopt behaviors that are typical of…

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. For our investigation, we test multiple associated measurement models for convergent, discriminant, and concurrent validity, model fit, and…

Background: Immigrants and their children are the fastest-growing demographic group in the United States, and schools are often the first social institution young immigrants engage with on a sustained basis. As such, the academic achievement of immigrant students can be viewed as an indicator of their incorporation and a predictor of educational…

Given the ongoing development of computer-based tasks, there has been increasing interest in modelling students' behaviour indicators from log file data with contextual variables collected via questionnaires. In this work, we apply a latent regression model to analyse the relationship between latent constructs (i.e., performance, speed, and…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

The concept of school climate has received much attention as a predictor of educational outcomes, including students' well-being, academic achievement, and motivation. To measure this concept, international large-scale assessments often rely on students' perceptions of its different dimensions, such as their sense of belonging, teacher support,…

Background: The gender gap in reading literacy is repeatedly found in large-scale assessments. This study compared girls' and boys' text responses in a reading test applying natural language processing. For this, a theoretical framework was compiled that allows mapping of response features to the preceding cognitive components such as micro- and…

Background: This paper discusses a framework for analyzing the dependence on mathematical theory in test items, that is, a framework for discussing to what extent knowledge of mathematical theory is helpful for the student in solving the item. The framework can be applied to any test in which some knowledge of mathematical theory may be useful,…

Background: While existing evidence strongly suggests that immigrant students underperform relative to their native counterparts on measures of mathematics, science, and reading, country-level analyses assessing the homogeneity of the immigrant achievement gap across different factors have not been systematically conducted. Beyond finding a…

This study examines gender differences in the variability of student performance in reading, mathematics and science. Twelve databases from IEA and PISA were used to analyze gender differences within an international perspective from 1995 to 2015. Effect sizes and variance ratios were computed. The main results are as follows. (1) Gender…