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…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

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 main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of…

Trends in International Mathematics and Science Study (TIMSS) 2019 data revealed that Grade 8 science teachers in several Asian countries (Chinese Taipei, Hong Kong SAR, Japan, and South Korea) reported lower job satisfaction levels than the international average. For example, while Japanese Grade 8 students ranked among the highest in science…

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…

The study investigates the academic resilience of Swedish students, focusing on how school-level factors contribute to achievement differences between resilient and non-resilient students. Using data from PISA cycles from 2000 to 2015, the study employs propensity score matching and hierarchical linear modeling to examine the impact of individual,…

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…

This study investigated student and classroom level variables related to student science achievement by using the Trends in International Mathematics and Science Study (TIMSS) 2015 dataset. Multilevel modeling was applied in this secondary analysis to examine how science self-concept, school relatedness, and science teaching quality predicted…

The present study ascertains the relationship between socioeconomic status (SES) and students' science self-efficacy using data involving 509,182 15-year-old students and 17,678 school principals in 69 countries/regions who participated in the Programme for International Student Assessment (PISA) 2015. Hierarchical linear modelling results show…

In this study, in line with TIMSS 2019 data, 8th grade students' school engagement in the Turkish education system and various variables in the field of science and mathematics, which are thought to be related to school engagement, were examined with the Random Forest method, a method amongst data mining methods. This research focuses on student…

The Programme for International Student Assessment, carried out every three years by the Organization for Economic Co-operation and Development across a large number of countries and economies, have shown that socioeconomically disadvantaged students are almost three times more likely than advantaged students not to attain the baseline level of…

Traditionally secondary studies on achievement on Programme for International Students Assessment (PISA) tests point to the significant impact of socioeconomic status and cultural backgrounds of families as well as the role of parental involvement, which in some cases has had a negative impact on achievement. For this article, a model of…

Whether the current post-16 qualifications system in the UK is fit for purpose has long been under discussion, with many calling for a broader, more interdisciplinary approach to preparation for university. This paper examines the relationship between post-16 (A-level) qualifications and degree success for students on the University of Exeter's…

To explore the wider educational environment included in the dynamic model of educational effectiveness, this paper reexamines the association between student achievement and two national culture dimensions: Monumentalism-Flexibility and Collectivism-Individualism. Using Programme for International Student Assessment (PISA) 2018 data of 317,127…