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…

An article by Kim et al. from 2014 examined individual- and school-level variables affecting the information and communication technology (ICT) literacy level of Korean elementary school students, finding differential gender effects. In this secondary data replication, we used data from the 2018 International Computer and Information Literacy…

This study explores the factors influencing mathematics performance, teacher satisfaction, and school environment across six economies using data from PISA 2022. Employing hierarchical linear modeling, the research examines individual and institutional variables at the student, teacher, and school levels. Key findings reveal significant…

The purpose of the current study is to examine malleable school practices and norms that contribute to inequitable school learning environments based on student background. Using multilevel structural equation modeling (SEM) with the U.S. sample of PISA 2015, this study examines the extent to which student-level access to inquiry-based science…

We tested the broad generality of a model for predicting 9th-10th grade students' STEM career expectations by age 30, focusing on hard science, mathematics and engineering professions only, known for driving innovation, research and development. The model's predictors included "motivation to learn mathematics", "gender", and…

Aims of the study: Compared to other developing countries, the reading achievement of Azerbaijani students remains low. Using the Progress in International Reading Literacy Study (PIRLS) 2016 data, this study examines potential predictors of Grade 4 student reading achievement in Azerbaijan. Background of the research: The study is guided by an…

Despite the widespread use of social educational tools during the last decade in K12 education, the growth curve of utilizing these tools to enhance reading activities has remained lower than expected in learning environments. However, the rapid shift from face-to-face education to online education brought about by the pandemic has attracted…

Using the Trends in International Mathematics and Science Study Data (TIMSS) 2015 dataset, this study examines 30 different contextual indicators to determine significant predictors of girls' mathematics achievement globally. The study design employs three nested levels in the hierarchical linear model (individual, classroom, and nation) to…

Recent studies reiterate the importance of mathematical literacy and the identification of skills, knowledge and cognitive processes which contribute to composite test scores to facilitate targeted remediation and extension activities. To this end, the current article examines data from the 2012 cycle of the Programme for International Student…

In this paper, it is aimed to evaluate different aspects of students' response time to items in the mathematics test and their test effort as an indicator of test motivation with the help of some variables at the item and student levels. The data consists of 4th-grade Singapore and Turkish students participating in the TIMSS 2019. Response time…

This study investigated the status of equity in mathematics education in Hong Kong based on data from TIMSS 2011 to 2019 and the changes in education equity across the three cycles. The effects of various student-, family-, and school-level variables on students' mathematics achievement were examined and compared using multilevel modeling. Results…

Shifting students to a growth mindset can increase their achievements. Nevertheless, only a few studies have been conducted on this topic in developing countries. This study aims to examine the relationship between growth mindset, school context, and mathematics achievement in Indonesia. Using a multilevel model on the PISA 2018 data, this study…

Given that teacher shortage is an international problem, teacher job satisfaction merits closer attention. Not only is job satisfaction closely related to teacher retention, but it also contributes to the well-being of teachers and their students, overall school cohesion and enhanced status of the teaching profession. This study investigates the…

This study examined how high school students' attitudes toward advanced physics were predicted by their sense of school belonging, and how gender moderated this relationship. The Trends in International Math and Science (TIMSS) 2015 Advanced data, consisting of responses from 12th grade students enrolled in advanced physics courses among nine…

Although much research has explored the personal, family, school, and social influences on adolescents' career expectations, little is known about the types of family-related career expectations of students and career expectation contexts in school. Using PISA 2018 test data, a multilevel latent profile analysis was conducted with indicators of…