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…

Predicting student performance in international large-scale assessments (ILSAs) is crucial for understanding educational outcomes on a global scale. ILSAs, such as the Program for International Student Assessment and the Trends in International Mathematics and Science Study, serve as vital tools for policymakers, educators, and researchers to…

In this study, we explored psychometric network analysis (PNA) as an alternative method for identifying item wording effects in self-report instruments. We examined the functioning of negatively worded items in the network structures of two math-related scales from the 2019 Trends in International Mathematics and Science Study (TIMSS); Students…

International large-scale assessments (ILSA) are an important source of information for education policymakers across the globe. Despite sponsors' warnings, when results are published, media attention focuses on country rankings and changes in scores. Score changes are evaluated using a two-sided z-statistic, with statistical significance declared…

This study focused on the relationships between teacher characteristics and students' mathematics achievement in EU countries, including Hungary, Italy, Lithuania, Malta, Slovenia, Sweden, and Turkey, which are the only EU countries participated in TIMSS 2015 at the eighth-grade level. The data consisted of the sample of 31,969 eighth-grade…

The study aims to investigate how confidence in mathematics/science, amount of books in the home, gender, whether a student likes being in school, and computer software predicted mathematics and science achievements of students in the Trends in International Mathematics and Science Study (TIMSS) 2019. The sample of the study consisted of…

This paper examines and builds on an earlier contribution to this journal focusing on private supplementary tutoring -- widely known as shadow education -- in Francophone West and Central Africa. Drawing on wider literature about research methods in this domain, it examines the basis for the numerical estimates presented in the original article…

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 study investigated how domain specificity of academic motivation related to the connection between instructional clarity and academic achievement in science and mathematics. It focused on three aspects of domain-specific academic motivation--self-concept, intrinsic value, and utility value--drawing from the Expectancy-Value Theory model. The…

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…

While there is public and political consensus on the need to safeguard the physical and psychological welfare of students while at school, little is known about which South African students are at risk of exposure to bullying, or the nature and extent of bullying in primary schools. Such data is crucial in informing the development of appropriate…

Using data from the Trends in International Mathematics and Science Study (TIMSS), this study examines the student and school characteristics that contribute to students' mathematics performance in early elementary school in Chile. Previous research has separately analyzed the association of student and school factors with mathematics performance.…

Background/purpose: Science education has gained more prominence as a means of educating students for the demands of a technologically evolved world. Understanding the variables influencing students' science achievement is vital for educational policymakers and practitioners. Materials/methods: The study used a hierarchical multiple regression…

In this research, structural equation modeling and TIMSS data were employed to examine the impact of school belonging on math achievement among secondary students in Japan, Korea, and the United States, with a focus on the roles of math attitude and disorderly behavior. Utilizing SmartPLS 4.0, the study delved into the reliability and validity of…

In Lebanon, science is taught in an international language (French or English) based on a language-in-education policy rooted in Lebanon's colonial history. Given the intersection among social/socioeconomic class, educational equity, and science performance, learning science in a language other than one's own raises concerns around…