In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…

Principals (policy makers) have debated the progress in U.S. student performance for a half century or more. Informing these conversations, survey agents have administered seven million psychometrically linked tests in math and reading in 160 waves to national probability samples of selected cohorts born between 1954 and 2007. This study is the…

The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

Creativity is the driving force of technological innovation and sustainable economic growth in the knowledge society. A central question, therefore, is how education helps to enhance creativity. As East Asian countries occupy the top of performance tests such as the OECD's Programme for International Student Assessment (PISA), it is most important…

Rapid response behaviour, a type of test disengagement, cannot be interpreted as a true indicator of the targeted constructs and may compromise score accuracy as well as score validity for interpretation. Rapid responding may be due to multiple factors for diverse populations. In this study, using Programme for International Student Assessment…

The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. The data were collected from 953 students who participated in the PISA 2018 8th-grade financial literacy assessment in the USA. Latent Class Analysis (LCA) approach was used to identify the latent classes, and the data fit…

The Program for International Student Assessment (PISA) is a study of 15-year-old students' performance in reading, mathematics, and science literacy conducted every 3 years. The PISA 2018 results provide a global view of U.S. students' performance compared to their peers in nearly 80 countries and education systems. By design, PISA aims to…

Purpose: Using data from 1,868 children from the US, Australia, and Sweden who took a 10-word spelling test in kindergarten and a standardized spelling test in Grades 1, 2, and (except for the Australian children) Grade 4, we examined two questions. First, does the quality of a child's errors on the kindergarten test help predict later spelling…

The Trends in International Mathematics and Science Study (TIMSS) is an international comparative study that measures trends in mathematics and science achievement at the 4th and 8th grades every 4 years. TIMSS is designed to align broadly with mathematics and science curricula in the participating education systems and, therefore, to reflect…

Using expert reviews and item response theory (IRT), this study evaluated the language- and culture-related construct-irrelevant variance and reliability of the 2019 TIMSS sense of school belonging scale (SSBS) for grades 4 and 8. The five items of the SSBS, which were identical for both grades, were reviewed for the language- and culture-related…

Numeracy and literacy skills have become increasingly important in modern labour markets. The large gender differences that several studies have identified have therefore sparked considerable attention among researchers and policy makers. Little is known about the moment in which such gaps emerge, how they evolve and if their evolution differs…

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…

Applying a measurement instrument developed in a specific country to other countries raise a critical and important question of interest in especially cross-cultural studies. Confirmatory factor analysis (CFA) is the most preferred and used method to examine the cross-cultural applicability of measurement tools. Although CFA is a sophisticated…

A recursive partitioning model approach in the form of classification and regression trees (CART) was used with 2012 PISA data for five countries (Canada, Finland, Germany, Singapore-China, and the Unites States). The objective of the study was to determine demographic and educational variables that differentiated between low SES student that were…

Research on grit indicates that perseverance positively predicts academic achievement. Yet, the mechanisms through which perseverance might lead to academic success remain less explored, particularly in cross-cultural research. The current study investigated such mechanisms by examining possible mediating effects of students' use of self-regulated…