When analyzing large-scale assessments (LSAs) that use complex sampling designs, it is important to account for probability sampling using weights. However, the use of these weights in multilevel models has been widely debated, particularly regarding their application at different levels of the model. Yet, no consensus has been reached on the best…

This paper examines whether parental engagement in early childhood and preschooling act as substitutes, or whether their joint effect enhances students' learning outcomes. We utilize the TIMSS 2019 dataset and employ a hierarchical linear modeling (HLM) approach to analyze data from 52 countries, ensuring a robust examination of cross-national…

Background: The unprecedented access to information in the 21st century entails a deep understanding of information and communication technology (ICT)-related factors in education and their impacts on learning and teaching. The role of attitudes towards ICT is a proven factor in student achievement. However, there is no consensus about the…

This study analyzed the latest four PISA surveys, 2009, 2012, 2015, and 2018, to explore the association between students' ICT-related use and math and science performance. Using ICT Engagement Theory as a theoretical framework and a three-level hierarchical linear modeling approach, while controlling for confounding effects, ICT-related…

This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…

Effect size reporting is crucial for interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models have not been provided. This report suggests and demonstrates appropriate effect size measures including the ICC for random effects and standardized regression…

The purpose of this study was to examine whether school disciplinary climate and grit predicted low socioeconomic status (SES) students being high achievers in mathematics and science with a representative sample of 15-year-old students in the United States. Our analysis, using a two-level logistic hierarchical linear model (HLM), indicated both…

The purpose of this study is to examine students' perceptions of instructional practices in the classroom, and to further investigate the relationships among instructional practices, motivational beliefs and science achievement. Hierarchical linear modelling was utilised to examine the Trends in International Mathematics and Science Study 2007…

Hierarchical linear models have become a familiar method for accounting for a hierarchical data structure in studies of science and mathematics achievement. This paper illustrates the use of cross-classified random effects models (CCREMs), which are likely less familiar. The defining characteristic of CCREMs is a hierarchical data structure…

In his State of the Nation address on 7 February 2019, the president of the Republic of South Africa. Mr. Cyril Ramaphosa, stated that the government would provide digital workbooks and textbooks to every school child in South Africa by 2025. (De Villiers, 2019). This announcement begs the question how effective the incorporation of Information…

The overall aim of this study is to investigate the effect of school-related factors and early learning experiences on mathematics achievement. In this causal-comparative research, HLM analysis was performed on the data of 6378 students, their parents, and 241 school principals and primary school teachers. As a result of the HLM analysis, at the…

This article examines inequality in different dimensions of student academic achievement (math, science, and reading) by family background and school context in three East Asian (Taiwan, Japan, and South Korea) and three Western (United States, Germany, and the Czech Republic) nations. Building on Hauser (2009), we develop a novel…

This study examines the relationship between key elements of the School Excellence Model (SEM) and student achievement in reading, mathematics and science as measured by the Programme for International Student Assessment (PISA) 2012 and the Teaching and Learning International Survey (TALIS) 2013, using a sample of 166 schools in Singapore.…

In England accountability measures have often been used to steer school behaviour in pursuit of policy goals. In 2010, the English Baccalaureate (EBacc) was introduced to increase uptake of traditional academic subjects at GCSE. These subjects, it was argued, would enhance students' future prospects, in part because they are favoured at A-level by…

One of the overarching goals of international large-scale assessments (ILSA) is to inform public discourse about the quality of education in different countries. To fulfil this function, the Organisation for Economic Co-operation and Development (OECD), for example, raises awareness of the Program for International Student Assessment (PISA)…