This article focuses on the validity of the students' attitudes toward mathematics scale based on data from TIMSS 2019. The scale has been reported as having a three-factor structure for decades, but this study assumes the validity can appear differently depending on the country or culture. Thus, the scale should first be checked for invariance…

Background: While highlighting is one of the most common strategies to enhance reading comprehension, little is known about how highlighting behavior and its relationship with performance varies across cultures. Our purpose was to examine whether the use and the success of highlighting prevalence, quantity, and task relevance vary internationally.…

This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies. We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingfrom the…

Using the United States data from the 2019 Trends in International Mathematics and Science Study, which included a total of 9924 randomly selected students in grade eight from 325 randomly selected schools, the present study examined the relationship between the students' attitudes toward mathematics and the mathematics achievement of the…

Engagement in digital reading assessments has been underexplored in spite of its importance for assessment and instructional design. In this study, we used different engagement indicators in two ePIRLS tasks (n[subscript 1] = 14,324, n[subscript 2] = 15,026) to identify engagement profiles, and interpreted them using the three-dimensional model of…

Scholars have long documented the positive influence of students' sense of belonging on their achievement and retention; however, the variation in students' sense of belonging has been underexplored. This paper extends previous research examining the effects of student-level characteristics (e.g., student achievement, learning attitude, experience…

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…

The focus of this study is to use the mixture item response theory (MixIRT) model while implementing the no-U-turn sampler as a technique for investigating the presence of latent classes (i.e., subpopulations) among eighth-grade students who were administered TIMSS 2019 mathematics subtest in paper format from the gulf cooperation council (GCC)…

This study examines the impact of the socioconstructivist approach on the academic performance of elementary school students and teachers in Peru to evaluate its implementation within the national educational policy. A mixed approach with a descriptive and causal-explanatory design was adopted, combining documentary analysis with bibliometric…

Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…

This study aims to apply the differential item functioning (DIF) technique with the deterministic inputs, noisy "and" gate (DINA) model to validate the mathematics construct and diagnostic attribute profiles across American and Singaporean students. Even with the same ability level, every single item is expected to show uniform DIF…

This study examines the factors affecting the mathematics achievement of 8th-grade students in Türkiye using data from the TIMSS in 2011, 2015, and 2019. The data were analysed with multilevel (two-level) modelling. The first level was the student, and the second level was the school. At the student level, such affective characteristics as…

Questionnaires in educational research assessing students' attitudes and beliefs are low-stakes for the students. As a consequence, students might not always consistently respond to a questionnaire scale but instead provide more random response patterns with no clear link to items' contents. We study inter-individual differences in students'…

In international large-scale assessments, students may not be compelled to answer every test item: a student can decide to skip a seemingly difficult item or may drop out before the end of the test is reached. The way these missing responses are treated will affect the estimation of the item difficulty and student ability, and ultimately affect…

This research aims to describe students' level of algebraic reasoning based on the adversity quotient types of climber, camper, and quitter in solving PISA model mathematics problems. This research is descriptive research with a qualitative approach. The research began by administering a questionnaire to determine the student's adversity quotient…